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 include, but are not limited to: - 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.
Required Qualifications: - Bachelor's degree plus 5-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.
Security Clearance: - Active TS/SCI with Polygraph required.
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
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