AI Software Engineer

We are seeking a motivated Artificial Intelligence (AI) Engineer with a proven track record in software engineering and a deep understanding of Artificial Intelligence/ Machine Learning (AI/ML) techniques to support an exciting new AI and Emerging Technologies (AI&ET) mission. In this role, you will work closely with mission stakeholders to capture requirements, aid in structured planning, and improve processes by introducing AI/ML tooling.

Additionally, you will use AI/ML to develop tools and techniques to include fine tuning Large Language Models (LLM) that assist in enhanced identification and mitigation capabilities. The ideal candidate for this position will be able to work closely with technical leadership to design, develop, and maintain LLM orchestration frameworks; develop and optimize data for LLM consumption; and be experienced working in Python.

Please consider applying if you meet the following qualifications.

• TS/SCI with polygraph security clearance.
• A Bachelor of Science (B.S.) degree in computer science or a related STEM discipline and five (5) years or relevant experience is required. A Doctoral degree (PHD) and no experience, a Master of Science (M.S.) degree and three (3) years, or an Associate of Science (A.S.) degree and seven (7) years of experience is also acceptable.
• Proficiency with object‑oriented languages like Python.
• Familiarization with LLM integration and data engineering.
• Familiarization with static analyzers, Retrieval‑Augmented Generation (RAG) framework, and relational and vector databases.
• Familiarization with Agile, Git, Jira, and Confluence.
• Must be capable of working with systems engineers to architect and deploy networked AI tools within secure enclaves and conduct performance profiling, optimization, and scalability analysis of mission systems.
• Must be capable of supporting security assessments and authority to operate (ATO) processes.

• Familiarity with RUST, Claude Code, Codex, and Continuous Integration and Continuous Delivery/Deployment (CI/CD) practices.