Lead Software Engineer – AI

Your Job

This hands-on technical lead role is critical to the design, development, and operation of AI-powered applications-primarily computer vision-deployed across more than 100 manufacturing facilities.

This team creates sustainable value and competitive advantage by leveraging advanced analytics, AI, and actionable insights across the enterprise, with a strong focus on manufacturing outcomes and future-forward innovation.

The role works closely with data scientists, product partners, and manufacturing teams to deliver scalable, real-world AI solutions.

What You Will Do


* Lead the end-to-end development and deployment of scalable data pipelines, machine learning models, and AI-enabled applications.


* Provide technical direction and architectural guidance for cloud and edge-based AI solutions.


* Build and operate scalable orchestration across cloud and distributed edge clusters (Kubernetes/EKS).


* Collaborate with data scientists, engineers, and product managers to launch new AI products and evolve existing capabilities.


* Write high-quality, production-grade code using modern AI and analytics technologies.


* Mentor engineers through design reviews, code reviews, and hands-on technical leadership.


* Proactively identify technical debt and implement improvements to accelerate product iteration.


* Establish and uphold best practices for system design, reliability, and performance.


* Manage personal learning while contributing to the technical growth of the team.

Who You Are (Basic Qualifications)


* Demonstrated experience building and operating distributed software systems, including experience leading technical design and delivery.


* Strong proficiency in Python, SQL, Docker, Bash scripting, and additional programming languages.


* Experience with AWS services such as Lambda, EC2, ECS, EKS, S3, and IAM.


* Experience building and deploying containerized applications using Kubernetes (EKS) and/or AWS ECS.


* Experience with data streaming technologies such as Kafka, NATS, MQTT, or similar platforms.


* Experience using Infrastructure-as-Code tools such as Terraform and Helm.


* Strong knowledge of data structures, algorithms, and system design.


* Excellent analytical, troubleshooting, and organizational skills.

What Will Put You Ahead


* Experience with edge computing architectures and hybrid cloud deployments.


* Bachelor's or master's degree in computer science, engineering, or a related field.


* Experience deploying and operating applications on edge devices.


* Familiarity with monitoring and logging tools such as Prometheus, Grafana, or Splunk.

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or ...