Staff Engineer, GenAI Tooling & DevEx (R5469)

As a GenAI Tooling & Developer Experience Engineer on the HMS DevOps Team, you will design, develop, and maintain the GenAI tooling that accelerates the development velocity of your fellow software engineers. You will collaborate with robotics and autonomy software engineers to understand their workflows, remove friction, and enable effective GenAI-assisted development in both commercial and government environments while meeting requirements for secure, controlled data. 

You will build the automation, infrastructure, and integration layers that make GenAI useful across the software engineering organization. You will streamline processes across GitLab, Jira, and Confluence so colleagues spend less time coordinating work and more time creating software. You will apply your expertise in C++, Python, build systems, and developer tooling to provide more power and context to our developers and GenAI tools. 

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. 

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). 

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