GenAI Tooling & DevOps Engineer for Robotics

Shieldai

Washington (District of Columbia)

On-site

USD 150,000 - 210,000

Full time

14 days+

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Job summary

Shield AI is seeking a GenAI Tooling & Developer Experience Engineer on the HMS DevOps Team to design, develop, and maintain GenAI tooling that accelerates software development velocity for engineers. You will collaborate with robotics and autonomy engineers to remove friction and enable GenAI-assisted development in secure, controlled data environments.

You will build automation, infrastructure, and integration layers that make GenAI useful across the software engineering organization,

Qualifications

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).
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 customLLMs

Responsibilities

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.