Description
We are seeking a motivated Senior AI Engineer with a proven track record in software engineering and deep understanding of Artificial Intelligence/Machine Learning (AI/ML) techniques.
The engineer will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve the certification process by introducing AI/ML tooling. Additionally, the engineer will use AI/ML to develop tools and techniques to include fine-tuning Large Language Models (LLM) that assist in enhanced vulnerability identification and mitigation capabilities.
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.
Qualifications:
- Bachelor's degree plus eight (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.
Benefits:
- Competitive benefits package including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and more.
Security Clearance:
- Active TS/SCI with Polygraph required.
Desirable Skills:
- Familiarization with RUST, Claude Code, Codex, and CI/CD.
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