Mid‑Level AI Engineer (Python)

Job Description

IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation.

Key Duties

• Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks
• Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines
• Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption
• Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails
• Work with systems engineers to architect and deploy networked AI tools within secure enclaves
• Perform performance profiling, optimization, and scalability analysis of mission systems
• Support security assessments and Authority to Operate (ATO) activities

Requirements

• Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience
• Associate’s degree with seven (7) years of clearly related experience may be considered
• Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics
• Proficiency in Python and AI/ML integration
• Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases
• Familiarity with Agile development and tools such as Git, Jira, and Confluence
• Relevant experience across the software development lifecycle
• Active TS/SCI with Polygraph

Compensation

Salary range: $105,000 – $125,000

Benefits

Employee may be required to occasionally lift and/or move moderate amounts of weight, typically less than 20 pounds, but may vary depending on the position. Regular and predictable attendance is essential.

Qualifications

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status, and any other characteristic protected by federal, state, and local law.