MUST BE LOCAL, 1099 - 60.00 Per hour or relocation is okay if you are a citizen
Job Summary
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.
Pay: $108,000.00 - $132,000.00 per year
Work Location: Hybrid remote in Washington, DC 20523
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