> Markdown version of [/jobs/ext/1136370-full-stack-ai-ml-developer](https://www.wearedevelopers.com/jobs/ext/1136370-full-stack-ai-ml-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Full Stack AI/ML Developer

- **Company:** ClearanceJobs Workforce Solutions
- **Location:** Chantilly, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Encodings, D3.Js, Middleware, Python (Programming Language), PostgreSQL, Machine Learning, Open Web Application Security, Redis, Ui Patterns, Next.js, Search Technologies, Secure Coding, Software Construction, Data Streaming, TypeScript, Management of Software Versions, WebSocket, Openapi, ReactJS, Large Language Models, Multi-Agent Systems, Backend, Fastapi, Build Management, Graphql, Front End Software Development, Software Version Control, Automation Anywhere
- **Published:** July 1, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9007226/full-stack-aiml-developer

## About the Role

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, 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, 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.

## 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., 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


## Related Videos

- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization)
- [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)
- [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)