AI Assited FULL Stack Developer
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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
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