Artificial intelligence (AI) Full Stack Engineer

Client: DOL (federal customer)

Job Title: AI-Assisted / Agentic AI Full Stack Engineer

Location: Washington, DC Metro Area – Hybrid, 3 days/week onsite in DC

Must Have: Agentic AI experience

Work Authorization: U.S. Citizen or Green Card

About the Role

Full-Stack Software Engineer on a small, forward-deployed team serving a federal customer. Uses AI-assisted development tools to design, implement, test, debug and document software, while making sure applications meet accessibility, security and quality requirements.

Key Responsibilities

• Build and support full-stack applications: accessible UIs, back-end APIs, database integration and workflow automation.
• Use approved AI-assisted development tools to design, write, refactor, debug, test and document code.
• Review and validate AI-generated code for correctness, security, maintainability and compliance with project requirements and federal standards.
• Develop interfaces meeting Section 508 and WCAG 2.1 AA accessibility requirements.
• Build LLM integrations, RAG pipelines, vector search and agentic workflows using MCP, with human-in-the-loop oversight.
• Apply secure development practices aligned with customer requirements, OWASP Top 10 for LLM Applications and NIST AI RMF.
• Run functional, performance and adversarial testing (prompt injection, jailbreaks); evaluate AI output for accuracy, hallucination, bias and safety.
• Build and maintain CI/CD and MLOps pipelines with security scans and TEVV gates.
• Monitor production applications and AI capabilities; troubleshoot, support incident response, maintenance and helpdesk requests.
• Work in Agile sprints with code/prompt reviews; contribute to Responsible AI documentation.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering or related field (or equivalent).
• 5+ years of hands-on full-stack development, including building and supporting production applications.
• 1+ year delivering Generative AI capabilities (LLM integration, RAG pipelines, embeddings, vector databases or AI workflow orchestration).
• Strong proficiency in Python and JavaScript/TypeScript; React or Angular; RESTful APIs; relational and NoSQL databases.
• Experience using AI-assisted development tools, with ability to critically review and validate AI-generated code.
• Experience with at least one major cloud (AWS, Azure, Google Cloud), Docker containerized deployments, CI/CD pipelines and automated security scans.
• Experience with automated testing, AI output evaluation, secure coding and accessibility (Section 508 / WCAG 2.1 AA).
• Familiarity with LLM security risks, human-in-the-loop controls, and federal security and Responsible AI requirements.
• Experience with Git, code reviews and Agile practices.
• Ability to obtain a favorable background investigation and meet citizenship/work authorization requirements.
• Ability to work onsite in Washington, DC, three days per week.

Preferred Qualifications

• 7+ years of software development, including federal agency programs.
• Agentic AI/MCP tooling, AI security testing, ATO documentation, AWS Bedrock/SageMaker.
• Generative AI or ML certification (e.g., Azure AI, AWS, Google Cloud, NVIDIA, CAIP).
• Active or prior favorably adjudicated government background investigation.

Pay: $55.00 - $60.00 per hour

Work Location: Hybrid remote in Washington, DC 20266