AI Software Developer (Mid-level) - TS/SCI with Polygraph
Quick Summary
Skills:Artificial Intelligence (AI), Large Language Models (LLMs),
Clearance Level Must Currently Possess:
Top Secret/SCIClearance Level Must Be Able to Obtain:
Top Secret SCI + PolygraphJob Family:
Data Science and Data EngineeringRequirements
~1 min read- Active TS/SCI (poly required or in process)
- Bachelors degree or equivalent experience
- 5+ 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
- 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
None
Job Description:
We are seeking a mid-level AI Software Developer to build and integrate AI-enabled features into mission applications operating on classified networks. Working under the direction of the Senior AI Engineer, you will implement machine learning and large language model capabilities within established architectural patterns and governance guardrails, alongside strong general software engineering work. This role emphasizes practical, production-quality delivery in an environment where AI systems must run locally — without external API access — and where security, auditability, and data handling discipline are part of everyday engineering.
Responsibilities
~1 min read- →Develop and maintain software applications incorporating AI/ML capabilities within air-gapped and accredited government cloud environments
- →Implement LLM-backed features (retrieval-augmented generation, embeddings, summarization, classification) using locally hosted models and program-approved patterns
- →Build and maintain data pipelines supporting AI-driven features, with correct classification handling and data hygiene
- →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
Work Location:
USA VA ChantillyAdditional Work Locations:
Location & Eligibility
Listing Details
- Posted
- September 23, 2026
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 33%
- Scored at
- September 30, 2026
Signal breakdown
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