Basic Qualifications
Bachelor's degree in Software Engineering, or related Science, Technology, Engineering or Mathematics field, plus a minimum of 8 years of relevant experience; or Master's degree, plus 6 years relevant experience.
CLEARANCE REQUIREMENTS: : Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
What You'll Own
- Production AI services. Build and deploy agentic workflows, RAG pipelines, and LLM-integrated applications using Python, LangChain/LangGraph, and commercial foundation models (Claude, Codex, Gemini, open source).
- Data-to-insight pipelines. Implement document ingestion workflows that transform unstructured enterprise data into structured models for AI reasoning — embeddings, vectorization, knowledge graphs.
- API integration. Design and build secure API interfaces that connect AI services to internal tools, enterprise platforms (Oracle, IFS, Snowflake, PLM, MES, CRM), and data sources.
- Deployment and reliability. Containerize and deploy AI services using Docker and Kubernetes. Build monitoring and evaluation pipelines to track model reliability, latency, and operational performance.
- Prompt engineering at scale. Design, test, and optimize prompts and agent configurations for production use — not demos.
What You Won't Own
- Platform architecture decisions — that's the Lead Architect's job
- Project coordination, scheduling, or status reporting
- Vendor evaluations or tool selection committees
What Makes This Role Different
- You will build production AI systems for a 10,000-person enterprise — not prototypes, not demos, not proofs of concept
- You will work in a multi-model environment (Claude, Codex, Gemini, open source) on real enterprise problems — legacy modernization, ERP replacement, manufacturing intelligence
- AI-assisted development is the default workflow — Claude Code, Codex, agentic tooling. You will use AI to build AI.
- The team is small, the problems are hard, and your code ships to production. Your work will directly change how a major defense enterprise operates.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master’s degree plus 3 years of experience
- Production experience building applications with LLM APIs — you have deployed generative AI services that real users relied on, not just experimented with in notebooks
- Strong Python development skills