Job Requirements
Chantilly, VA
Top Secret/SCI Polygraph not specified
Mid Level Career (5+ yrs experience)
$150,000 - $200,000
Job Description
ClearanceJobs is actively seeking a Full Stack AI/ML Engineer for our client, a growing technology company supporting national security missions. ClearanceJobs is the largest career network for professionals with federal government security clearances, connecting cleared talent with the opportunities that matter most. We are committed to matching top-tier candidates with clients who depend on mission-focused professionals to support national security, defense, and intelligence community initiatives. Our team works closely with hiring managers to understand their needs and deliver candidates who are not only technically qualified but cleared and ready to contribute from day one.
Responsibilities will include, but are not limited to:
Design and build a browser-based interface for configuring, launching, and monitoring multi-agent AI workflows within classified workspaces, using React/Next.js with accessibility and audit-trail-aware UX
Build FastAPI backend services extending a core coordination platform: tool endpoints, workspace management APIs, agent configuration APIs, and mission-specific integrations, including full API contract ownership (OpenAPI, versioning, SDK generation)
Integrate production LLM APIs (Claude, Titan, and air-gapped model endpoints) into application workflows with streaming, error handling, and retry logic; build prompt management and versioning systems with injection-detection middleware
Build RAG-powered knowledge interfaces and agent evaluation/scoring tools — retrieval quality dashboards, hallucination flagging, human-in-the-loop review workflows, and full audit/replay of agent decisions
Own ML pipeline infrastructure: evaluation pipelines against ground-truth datasets, feedback capture, fine-tuning data curation, vector database operations, and model comparison/promotion tooling
Design mission-operator-appropriate UX (information density, explainability, degraded-connectivity support) with Section 508 accessibility and DoD data-marking compliance
Minimum Qualifications:
Active TS/SCI clearance required Day 1; U.S. citizenship required
5+ years of full stack development with production ownership of both frontend and backend systems
React/Next.js proficiency: component architecture, state management, SSR/SSG trade-offs
Python backend development (FastAPI or equivalent), async patterns, REST/WebSocket API design
PostgreSQL and real-time UI patterns (SSE, WebSocket, Redis-backed state)
Production LLM integration experience: streaming, tool use/function calling, structured output parsing
RAG pipeline experience: chunking, embedding, vector search, retrieval evaluation
ML evaluation methodology: train/test splits, metrics selection, avoiding evaluation leakage
DoD 8570/8140 IAT Level II (Security+ or equivalent) required, or willingness to obtain within 90 days
Working knowledge of OWASP Top 10 and secure coding practices in Python/TypeScript
Preferred Qualifications:
TypeScript proficiency; tRPC or GraphQL experience
AWS Certified Developer – Associate or AWS Certified Machine Learning – Specialty
Fine-tuning experience (LoRA/QLoRA, PEFT) and familiarity with self-hosted inference (vLLM, Ollama, TGI) for air-gapped environments
Familiarity with the Model Context Protocol (MCP) — building an MCP client or tool is a strong differentiator
Prior experience building software for DoD, IC, or federal civilian environments
Experience with D3.js or similar for complex mission dashboards
Clearance Requirements:
Active TS/SCI required and verifiable at application; CI or Full-Scope Polygraph preferred
U.S. citizenship required; must be willing to work in SCIF environments as mission requires
Location:
Remote (CONUS)
SCIF access required as mission dictates — occasional on-site presence should be expected
Physical Requirements:
This position requires the ability to remain in a stationary position for extended periods of time, operate standard office equipment such as a computer, keyboard, and telephone, and occasionally move about the work environment. Must be able to communicate in writing and verbally with sufficient clarity to convey technical information. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Responsibilities will include, but are not limited to:
Design and build a browser-based interface for configuring, launching, and monitoring multi-agent AI workflows within classified workspaces, using React/Next.js with accessibility and audit-trail-aware UX
Build FastAPI backend services extending a core coordination platform: tool endpoints, workspace management APIs, agent configuration APIs, and mission-specific integrations, including full API contract ownership (OpenAPI, versioning, SDK generation)
Integrate production LLM APIs (Claude, Titan, and air-gapped model endpoints) into application workflows with streaming, error handling, and retry logic; build prompt management and versioning systems with injection-detection middleware
Build RAG-powered knowledge interfaces and agent evaluation/scoring tools — retrieval quality dashboards, hallucination flagging, human-in-the-loop review workflows, and full audit/replay of agent decisions
Own ML pipeline infrastructure: evaluation pipelines against ground-truth datasets, feedback capture, fine-tuning data curation, vector database operations, and model comparison/promotion tooling
Design mission-operator-appropriate UX (information density, explainability, degraded-connectivity support) with Section 508 accessibility and DoD data-marking compliance
Minimum Qualifications:
Active TS/SCI clearance required Day 1; U.S. citizenship required
5+ years of full stack development with production ownership of both frontend and backend systems
React/Next.js proficiency: component architecture, state management, SSR/SSG trade-offs
Python backend development (FastAPI or equivalent), async patterns, REST/WebSocket API design
PostgreSQL and real-time UI patterns (SSE, WebSocket, Redis-backed state)
Production LLM integration experience: streaming, tool use/function calling, structured output parsing
RAG pipeline experience: chunking, embedding, vector search, retrieval evaluation
ML evaluation methodology: train/test splits, metrics selection, avoiding evaluation leakage
DoD 8570/8140 IAT Level II (Security+ or equivalent) required, or willingness to obtain within 90 days
Working knowledge of OWASP Top 10 and secure coding practices in Python/TypeScript
Preferred Qualifications:
TypeScript proficiency; tRPC or GraphQL experience
AWS Certified Developer – Associate or AWS Certified Machine Learning – Specialty
Fine-tuning experience (LoRA/QLoRA, PEFT) and familiarity with self-hosted inference (vLLM, Ollama, TGI) for air-gapped environments
Familiarity with the Model Context Protocol (MCP) — building an MCP client or tool is a strong differentiator
Prior experience building software for DoD, IC, or federal civilian environments
Experience with D3.js or similar for complex mission dashboards
Clearance Requirements:
Active TS/SCI required and verifiable at application; CI or Full-Scope Polygraph preferred
U.S. citizenship required; must be willing to work in SCIF environments as mission requires
Location:
Remote (CONUS)
SCIF access required as mission dictates — occasional on-site presence should be expected
Physical Requirements:
This position requires the ability to remain in a stationary position for extended periods of time, operate standard office equipment such as a computer, keyboard, and telephone, and occasionally move about the work environment. Must be able to communicate in writing and verbally with sufficient clarity to convey technical information. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
group id: ClearanceJobsSC
