Senior AI Engineer

Responsibilities

• 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.
• Develop and optimize data preprocessing pipelines to ingest, clean, transform, and vectorize product documentation, source code, and test results for LLM consumption.
• Design and implement database solutions to support RAG architectures, artifact storage, audit trails, and metadata management.
• 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

Requirements

• Bachelor's degree plus 8-years of relevant experience or equivalent.
• 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

• Competitive salary
• Company Medical/Dental/Vision plans – Company paid
• Short-term Disability, Long-term disability and Life Insurance – Company paid
• Business/ First Class travel upgrade for 7 hour or longer flights & company card will be provided for expenses
• Vacation / Personal days granted at 25 days per year
• Paid Federal Holidays – 11 days
• $5,000 Annual Professional Development Fund plus 40 paid hours if in class
• 401K with 6% company match; all contributions are immediately vested by Employee
• Employee will be paid a bonus of $10,000 per employee hired based on their referral
• Up to 3 paid Code Red days due to customer closure

Pay

Competitive salary

Schedule

Not specified

Qualifications

• Active TS/SCI with Polygraph required.