Staff AI Engineering

What you'll do

• Own full-stack solutions from architecture and implementation through deployment, observability, and lifecycle support.
• Develop AI agents and integrate LLMs, search, embeddings, external tools, and business systems through APIs and MCP.
• Harden AI components for critical manufacturing systems, focusing on reliability, performance, security, and maintainability.

What they ask for

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.
• Strong expertise in API design, service integration, data persistence, and production-grade applications.
• Hands-on cloud-native architecture, CI/CD, containerization, and Kubernetes deployment experience; experience with relational and NoSQL databases.
• Experience designing and deploying AI-enabled solutions, including agents, RAG, prompt engineering, tool integration, and AI reliability and security evaluation.

Nice to have

• 7+ years building and scaling enterprise-grade distributed cloud applications.
• Experience with C#, ASP.NET, Angular, MCP integrations, AI agent skills, tool invocation frameworks, or multi-agent workflows.

Tools

C#, ASP.NET, Angular, SQL, NoSQL, Kubernetes, MCP, CI/CD

AI focus

Build and operationalize AI agents, RAG systems, LLM integrations, MCP-based tools, and AI-assisted workflows; evaluate and harden AI systems for reliability, security, and production use.