Python, LLM integration, data engineering, Agile, Git, Jira, Confluence, static analyzers, RAG framework, relational and vector databases, RUST, Claude Code, Codex, and CI/CD
Required:
- Must be a US Citizen.
- Must have TS/SCI clearance w/ active polygraph.
- Must have eight (08) years of direct/relevant experience.
- Bachelor’s degree in computer science or related discipline from an accredited college or university is required.
- 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.
- 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.
- 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.
These Qualifications Would be Nice to Have:
- Familiarization with RUST, Claude Code, Codex, and CI/CD.