Staff Engineer, GenAI Tooling & DevEx (R5469)
On-siteWashington, United States
Job Summary
Design and maintain GenAI-enabled developer tools for C++, Python, and Node.js projects, partnering with robotics engineers to convert high-friction workflows into secure, repeatable tooling. Extend custom GenAI harnesses with Python or Bash scripts, secure LLM routing, and audited execution paths within local containerized environments. Build integrations across GitLab, Jira, Confluence, and internal systems to provide engineering context, while improving build, test, and developer-environment workflows including reproducible Nix environments. Support engineers through documentation, examples, and troubleshooting to drive GenAI adoption. Requires a bachelor's degree, fluent GenAI-assisted development skills, and an active U.S. SECRET security clearance.
Required Qualifications
- Typically requires a bachelor's degree in Computer Science, Computer Engineering, or related technical discipline, or equivalent practical experience
- Fluent with GenAI-assisted development. You can pair with AI tools to explore ideas, generate code, debug issues, and quickly turn rough concepts into working prototypes
- Hands-on experience building LLM-powered tools for software development
- Direct experience writing scripts (Bash, Python) and utilizing webhooks/APIs to automate and integrate engineering tools (such as Jira, Confluence, and GitLab)
- Hands-on experience with containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix)
- Familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS)
- Experience with secure software development practices, secret management, and identity providers (Active Directory, Entra ID)
- Ability to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required)
Desired Qualifications
- Practical experience building, maintaining, and scaling enterprise CI/CD systems
- Experience developing tools in CUI and ITAR environments
- Expertise in tuning LLMs for specialized use
- Familiarity with deploying custom LLMs
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