-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Cheyenne, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:48
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Rock Springs, US-WY
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:47
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Morgantown, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:46
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Roanoke, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:42
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Richmond, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:38
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Spokane, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:35
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Charleston, US-WV
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:32
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Seattle, US-WA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:27
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Bennington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:23
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Tysons, US-VA
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:20
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: St. George, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:15
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Salt Lake City, US-UT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:11
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Burlington, US-VT
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:07
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Nashville, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:07
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Memphis, US-TN
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:06
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Lubbock, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:05
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: San Antonio, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:05
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Dallas, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:24:00
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Houston, US-TX
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:56
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Providence, US-RI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:54
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Newport, US-RI
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:49
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Charleston, US-SC
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:45
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Rapid City, US-SD
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:40
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Sioux Falls, US-SD
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:36
-
Essential Duties and Responsibilities:
- Design and develop advanced AI software applications, ensuring scalability, performance, and integration with enterprise systems.
- Responsible for developing and modifying systems software (i.e., software for use in operating/controlling hardware and providing a platform for running internal end-user/business applications).
- Develop and communicate descriptive, diagnostic, predictive and prescriptive insights/algorithms.
- Apply knowledge of experimental methodologies, statistics, optimization, probability theory and machine learning using code for tool building, statistical analysis and modeling, using both general purpose software and statistical languages.
- Lead technical implementation efforts in both theoretical and product design environments, translating complex algorithms and specifications into code while mentoring junior engineers and guiding team-level development practices.
Job-Specific Essential Duties and Responsibilities:
- Design, build, ship, and operate production software systems incorporating AI and machine learning capabilities.
- Own difficult technical problems from initial exploration through implementation, deployment, troubleshooting, and continuous improvement.
- Write high-quality software and contribute directly to application code, APIs, services, automated tests, infrastructure, and engineering tooling.
- Build AI-enabled applications that integrate models, enterprise data, cloud services, APIs, and existing systems.
- Apply strong engineering practices including automated testing, CI/CD, observability, security, resiliency, and performance optimization.
- Evaluate emerging AI technologies through hands-on experimentation and determine where they can provide practical value in production.
- Build reusable components, libraries, patterns, and reference implementations that help other teams deliver better software.
- Mentor other engineers through code reviews, pairing, design discussions, and shared problem solving.
Minimum Requirements
- Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience.
Job-Specific Minimum Requirements:
- 7+ years of professional software engineering experience, including substantial experience building and supporting production systems.
- 3+ years of experience with artificial intelligence, machine learning, or related technologies.
- 5+ years of experience designing or building solutions in cloud environments.
- Demonstrated experience owning software through deployment, production operations, troubleshooting, maintenance, and evolution.
- Strong software engineering fundamentals, including system and API design, testing, source control, and secure development.
- Experience designing and implementing systems on AWS, Azure, GCP, or similar cloud platforms.
- Experience with modern software delivery practices including automa...
....Read more...
Type: Permanent Location: Columbia, US-SC
Salary / Rate: Not Specified
Posted: 2026-10-09 11:23:32
