AI Assited FULL Stack Developer

Full-Stack Software Engineer to build and support applications on a small, forward-deployed team serving a federal customer. The engineer will use AI-assisted development tools to help design, implement, test, debug, and document software, while ensuring that delivered applications meet accessibility, security, and quality requirements.

Key Responsibilities

• Build and support full-stack applications, including accessible user interfaces, back-end APIs, database integration, and workflow automation.
• Use approved AI-assisted development tools to help design, write, refactor, debug, test, and document code.
• Review and validate AI-generated code for corrections, security, maintainability, and compliance project requirements and applicable federal standards.
• Develop interfaces that meet 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, the OWASP Top 10 for LLM Applications, and NIST AI RMF.
• Run functional, performance, and adversarial testing (prompt injection, jailbreaks) and 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 issues, 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 a related field (or equivalent).
• 5+ years of hands-on full-stack development experience, including building and supporting production applications.
• 1+ year of experience delivering Generative AI capabilities, such as LLM integration, RAG pipelines, embeddings, vector databases, or AI workflow orchestration.
• Strong proficiency in Python and JavaScript/TypeScript, with experience in React or Angular, RESTful APIs, and relational and NoSQL databases
• Experience using AI-assisted development tools to write, debug, refactor, test, and document software, with the ability to critically review and validate AI-generated code.
• Experience with at least one major cloud platform (AWS, Azure, Google Cloud) and containerized deployments using Docker, CI/CD pipelines, and automated security scan.
• Experience with automated testing, AI output evaluation, secure coding, and accessibility requirements, including Section 508 / WCAG 2.1 AA.
• Familarity with LLM security risks, human-in-the-loop controls, and applicable federal security and Responsibe AI requirements.
• Experience with Git, code reviews, and Agile development practices.
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• Ability to obtain a favorable background investigation and meet the federal customer’s citizenship or 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.