Integrate AI capabilities with existing program systems and workflows via REST APIs and structured data formats
Write clean, testable, well-documented code; participate in code reviews and follow team engineering standards
Implement required logging, audit, and evaluation instrumentation per the program's AI rules of engagement
Support deployment, monitoring, and iterative improvement of AI-enabled systems, including model updates transferred into the environment
Collaborate with program staff and stakeholders to refine requirements into working software
Required Qualifications
Active TS/SCI (poly required or in process)
Bachelors degree or equivalent experience
2+ years of professional software development experience
Strong Python proficiency and working knowledge of at least one additional language (JavaScript/TypeScript, Java, or similar)
Hands-on experience with AI/ML concepts in real projects: model inference, embeddings, vector search, or prompt engineering
Experience with REST APIs, JSON, SQL, and version control (Git)
Comfort working in restricted or disconnected development environments, or demonstrated ability to adapt to them
Strong problem-solving and communication skills; ability to work on-site in a SCIF full time
Preferred Qualifications
Experience running or integrating locally hosted LLMs (Llama, Mistral, Hugging Face transformers, vLLM, Ollama, or similar) rather than solely commercial APIs
Familiarity with PyTorch or similar ML frameworks
Experience with Docker and CI/CD pipelines, especially in offline or artifact-mirrored setups
Exposure to government cloud (Azure Government, AWS GovCloud) or IC/DoD program environments
Understanding of data security, classification handling, and responsible AI practices
Prior NRO or IC program experience
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