Staff / Principal Full Stack AI Engineer
On-siteBoise, Idaho, United States
Job Summary
Design, architect, and deliver end-to-end AI products including data ingestion pipelines, model training, APIs, and user interfaces. Build modern front-end applications using React, Angular, or Streamlit supported by Python and FastAPI backends. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, and sensor networks to enable intelligent factory operations. Implement digital twin environments using NVIDIA Omniverse, Gazebo, or Unity Robotics Hub for simulation and validation. Integrate LLMs and agentic AI frameworks into production workflows, deploying containerized applications via Docker, Kubernetes, and CI/CD pipelines. Optimize workloads through GPU acceleration and Responsible AI standards.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent professional experience
- 5+ years of experience designing, building, and deploying production web applications, AI solutions, or both
- Strong programming skills in Python and modern JavaScript/TypeScript, with experience developing scalable software architectures
- Experience building data ingestion, ETL, or feature engineering pipelines that support AI/ML applications at scale
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP), Docker, Kubernetes, and CI/CD pipeline development
- Working knowledge of SQL and database technologies used in enterprise application development
- Experience collaborating with teams spanning multiple functions such as software engineering, data science, operations, and infrastructure organizations
Desired Qualifications
- Master's degree in Computer Science, Artificial Intelligence, Robotics, Data Science, or a related field
- Experience implementing Generative AI solutions, including RAG architectures, prompt engineering, function/tool calling, agentic workflows, and LLMOps practices
- Hands-on experience with digital twin or simulation platforms such as NVIDIA Omniverse, Gazebo, Unity Robotics Hub, Siemens Tecnomatix, or Unreal Engine
- Experience integrating robotics systems, autonomous mobile robots (AMRs), industrial automation platforms, or IoT sensor networks into software applications
- Knowledge of GPU-accelerated computing, model optimization techniques, and deployment of AI workloads in cloud and edge environments
- Experience applying Responsible AI, security, audit logging, and model governance practices within production applications
- Prior experience in semiconductor manufacturing, advanced manufacturing, industrial automation, digital twin development, or other high-reliability operational environments
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