AI Full Stack Developer

AI Full Stack Developer (Contract, Hybrid) — Washington, DC

Quick Facts

• Contract role; Hybrid (3 days onsite and 2 days remote)
• Compensation: 45–55/hour W-2
• Security Clearance: Eligible for public trust clearance; government background investigation required

Description

Design, develop, and enhance AI-enabled full-stack applications from accessible front-end interfaces (Section 508 / WCAG 2.1 A and AA) to back-end APIs, services, and workflow automation.

Build LLM integrations including RAG pipelines, vector search, and agentic AI workflows using MCP-based tools, engineered to government AI agent security requirements (OWASP Top 10 for LLM Applications, NIST AI RMF).

Deliver adversarial and AI-specific testing, support CI/CD and MLOps with TEVV gates, and help monitor production AI systems with responsible AI documentation.

Responsibilities

• Develop AI-enabled full-stack applications as part of a small, forward-deployed team
• Implement LLM integrations, RAG pipelines, vector search, and agentic AI workflows using Model Context Protocol (MCP)-based tools
• Apply prompt engineering, retrieval quality controls, and human-in-the-loop oversight aligned to OWASP Top 10 for LLM Applications and NIST AI RMF
• Conduct functional, performance, and AI-specific adversarial testing (prompt injection and jailbreaks); evaluate accuracy, hallucination, bias, and safety
• Build and maintain CI/CD and MLOps pipelines with security scans and TEVV gates; prepare release artifacts
• Monitor production AI systems, perform root-cause analysis, and support incident response and scheduled helpdesk support
• Contribute to Responsible AI documentation (model cards, impact assessments)
• Participate in two-week Agile sprints; perform code and prompt reviews using the same security gates as hand-written code
• Work in government-approved repositories with full traceability
• Use government-furnished AI engineering tools (e.g., GitHub Copilot) and cloud inference via Azure AI Foundry, Google Vertex AI, or AWS Bedrock

Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Information Systems, or related field plus 5+ years relevant experience (equivalent experience may substitute)
• 5+ years hands-on full-stack software development across front-end and back-end
• 1+ year hands-on experience delivering Generative AI capabilities (LLM integration, RAG pipelines, embeddings, vector databases, or AI workflow orchestration)
• Strong proficiency in Python and JavaScript/TypeScript, and experience with a modern front-end framework (React or Angular)
• Experience designing RESTful APIs; working with relational and NoSQL databases
• Cloud platform development experience (AWS, Azure, or Google Cloud) with Docker/Kubernetes and CI/CD pipelines
• Automated testing and AI output evaluation experience (accuracy, relevance, hallucination) plus secure coding and federal security requirements
• Accessibility compliance: Section 508 / WCAG 2.1 Level A and AA
• Git and Jira experience in Agile teams
• Generative AI or Machine Learning certification (e.g., Microsoft Azure AI, AWS GenAI/ML, Google Cloud, Databricks, Snowflake, NVIDIA, or CAIP)
• 7+ years of software development experience supporting federal agency programs
• Experience with agentic AI frameworks, MCP tooling, open-weight model serving, vector stores, security testing (prompt injection), and ATO documentation
• Knowledge of AWS Cloud AI development services including Bedrock, SageMaker, Lambda, and API Gateway; familiarity with Azure AI Foundry and Google Vertex AI
• Eligible for public trust clearance; government background investigation required

Benefits

• Medical, dental, vision, spending accounts, life insurance, and voluntary plans
• 401(k) plan participation