Senior AI Engineer TS/SCI w/ Poly

Role overview

Responsibilities

• check_circle Collaborate closely with technical leadership to design, develop, and maintain LLM orchestration frameworks that coordinate static analyzers, retrieval-augmented generation (RAG) systems, and automated testing pipelines.
• check_circle Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
• check_circle Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.

Basic qualifications

• Collaboratively work with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Support security assessments and authority to operate (ATO) processes.
• Proficiency in Python, LLM integration, and data engineering.
• Experience with static analyzers, RAG framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.

Preferred qualifications

• Familiarization with RUST, Claude Code, Codex, and CI/CD.

Benefits

• check_circle Health, dental, and vision insurance
• check_circle Paid time off and holidays
• check_circle Retirement benefits (including 401(k) matching)
• check_circle Educational reimbursement
• check_circle Parental leave
• check_circle Employee stock purchase plan
• check_circle Tax-saving options
• check_circle Disability and life insurance
• check_circle Pet insurance