Founding AI Quality & Release Engineer

About the Role

This is the first dedicated quality-infrastructure hire at a well-backed AI/data startup, and it is a software engineering role through and through. You will own the full verification and release system, from agentic test harnesses and LLM graders to CI pipelines and deployment gates, making every green build trustworthy and every release uneventful.

• Design, build, and maintain agentic test harnesses and LLM-based evaluation systems that run and grade tests automatically.
• Own regression coverage and release gates, ensuring unsafe builds are stopped with evidence rather than intuition.
• Develop and improve CI pipelines, artifact publication workflows, and container build automation using Git Hub Actions.
• Maintain reliable demo and staging environments that faithfully represent production.
• Drive down bug-escape rates by closing gaps in the automated signal, not by adding manual test runs.
• Participate in business-hours incident escalations and make incidents rarer and easier to diagnose over time.

• 7 to 10 or more years of overall software or quality engineering experience.
• At least 1 year of hands-on experience building, testing, or evaluating agentic AI systems and LLM-based applications, applied within the last year.
• Deep proficiency with Git Hub Actions and Git Hub-based CI/CD, including container builds and pipeline automation.
• Strong command of Python and Type Script; comfort with Docker, Kubernetes, and Helm.
• Familiarity with at least one major cloud or data platform such as AWS, Snowflake, Databricks, or Azure.
• Background in early-stage startups or in modernizing legacy QA and Dev Ops practices inside larger organizations.
• Demonstrated ability to take full ownership of systems and processes, make independent decisions, and execute without close guidance.
• Fully authorized to work in the US or Canada without visa sponsorship now or in the future.

Base salary range: $170,000 to $200,000 USD annually. Visa sponsorship is not available.

Fully remote, open to candidates based anywhere in the United States or Canada. The company’s primary hub is New York, NY.