Staff Engineer, GenAI Tooling & DevEx (R5469)
Shield AI - Washington, DC
Hiring: Staff Engineer, GenAI Tooling & DevEx (R5469) Company: Shield AI Location: Washington, DC Job Posted Time: 2026-09-12 10:33:13 Employment Type: Full-time Target Skills & Keywords : AI, AWS, Azure, Bash, C++, CI/CD, Confluence, Docker, GitLab, Jira, LLM, Node.js, Poetry, Python, Webhooks About the job Required Skills: •This is a high-leverage role where your impact scales through the work of others: every improvement you make to GenAI tooling, automation, and developer workflows will help engineers across HMS move faster, work more securely, and spend more time solving the hardest robotics and autonomy problems. •Design, develop, and maintain GenAI-enabled developer tools for C++, Python, and Node.js software projects. •Partner with robotics and autonomy engineers to identify high-friction workflows and convert them into secure, repeatable GenAI-assisted tooling. •Extend our custom GenAI harness with Python or Bash tools, secure LLM routing, audited execution paths, and local containerized environments. •Build integrations across GitLab, Jira, Confluence, and internal developer systems to provide GenAI tools with useful engineering context. •Improve build, test, and developer-environment workflows, including GenAI-assisted adoption of reproducible Nix development environments. •Support engineers adopting GenAI tooling through documentation, examples, troubleshooting, and feedback-driven improvements. 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). •Applied hands-on capability in containerization (Docker, multi-stage builds) and package managers (such as Conan, Poetry, or Nix). •Operational familiarity with deploying and managing application workloads in cloud environments (such as Azure Gov Cloud or AWS). •Demonstrated capacity to obtain and maintain an active U.S. SECRET security clearance (U.S. citizenship required). •Practical experience building, maintaining, and scaling enterprise CI/CD systems. •Expertise in tuning LLMs for specialized use •Operational familiarity with deploying custom LLMs Compensation: •$150,000 - $220,000 / year •Pay within range listed + Bonus + Benefits + Equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!