Software Engineer [Multiple Positions Available]

DESCRIPTION:

Duties: Design and develop generative AI solutions, including retrieval-augmented generation and model-driven code.

Implement machine learning applications focused on deep learning, natural language processing, and large language models.

Collaborate with cross-functional teams to integrate AI capabilities and enhance system performance through continuous research and experimentation.

Design and implement scalable software applications and APIs, and build dynamic user interfaces using component-based architecture and state management.

Architect resilient software systems and automate system administration and server configuration.

Implement secure network and identity management, including authentication, authorization, and access control.

Enable multi-tenant SaaS applications with scalability and security, and design event- driven architectures.

Deploy and manage cloud infrastructure using infrastructure as code, and develop serverless solutions.

Implement CI/CD pipelines for automated build, test, and deployment.

Design and implement data warehousing solutions, including data modeling, ETL, and query optimization.

Manage data lakehouse and data mesh architectures to support analytics and decentralized data ownership.

Integrate, clean, transform, and prepare data from diverse sources using data wrangling techniques.

Perform data visualization and analysis using interactive dashboards and reports.

QUALIFICATIONS:

Minimum education and experience required: Bachelor's degree in Electronic Engineering, Computer Science, Computer Information Systems, Data Engineering, or related field of study plus 3 years of experience in the job offered or as Software Engineer, IT Consultant, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Designing and developing generative AI solutions, including RAG, AI agents, and MCP using deep learning, NLP, and large language models; Implementing AI-driven applications; Integrating AI solutions into existing systems; Developing and deploying AI agents for automation and decision-making; Designing and implementing data warehousing solutions using Snowflake; Developing data lakehouse architectures using Databricks; Implementing data mesh architectures using Starburst; Visualizing and analyzing data for AI insights using Tableau; Preparing and transforming data for AI applications using Alteryx; Managing cloud infrastructure for AI workloads using Terraform; Designing AI solutions on AWS, including EC2, S3, Lambda, and RDS; Implementing CI/CD pipelines for AI model deployment; Developing software applications using Python, Flask, and FastAPI; Building user interfaces for AI applications using ReactJS; Automating system administration tasks using shell scripting; Designing secure network and identity management solutions for AI systems; Architecting and designing AI software systems; Implementing event-driven architectures for AI applications; Ev...