Founding AI Quality & Release Engineer | AI/LLM | Python / TypeScript | Agentic Testing / CI/CD | Must have startup exp

**Founding AI Quality & Release Engineer AI/LLM Python / TypeScript Agentic Testing / CI/CD Must have startup experience**

🚨 Only candidates with hands-on AI-native quality engineering experience - testing or evaluating agentic/LLM-based systems within the last 12 months - along with startup experience will be considered.

Location: Fully Remote (US or Canada) - optional office space for those who want it

Package: $180,000 - $200,000 + meaningful equity - Can go to $220,000 if you tick every box

Eligibility: Must have full work authorization in the US or Canada - No visa sponsorship or transfer support available

🚨 Please only apply if you have commercial experience with ALL of the following 🚨

• 7+ years as a quality, release, or platform engineer
• Hands-on AI-native quality engineering (testing or evaluating agentic / LLM-based systems) within the last 12 months
• Strong GitHub Actions and GitHub-based CI/CD (container builds, pipeline automation)
• Python and/or TypeScript
• Startup / scale-up experience
• Happy as a pure hands-on IC who writes code most days

Join an early-stage, venture-backed AI company building agentic systems that are transforming how technical teams work. This is the first dedicated quality-infrastructure hire - a true founding role where you own the entire verification and release system end to end.

This isn’t traditional QA. The agents run the tests here - your job is to build the systems that verify every build, gate releases automatically, and make shipping safe and predictable from merge to customer.

What You’ll Own:

• AI-powered verification
  • The trustworthiness of the test signal: agent-run harnesses, LLM graders, regression coverage, and automated release gates. Closing the gaps that let bugs escape to customers.
• Release and environment engineering
  • The mechanics of shipping: release pipelines, CI health, artifact publication, and the reliability of demo and staging environments.

What this role is NOT:

• It is not manual test execution - you fix the underlying system, not staff the symptom
• It is not a release gatekeeper approving builds on intuition - you build systems that make readiness visible and stop unsafe releases automatically, with evidence
• It is not a hidden 24/7 on-call role - business-hours escalations only, with production on-call staffed separately as it matures

Required Background:

• 7 - 15 years across quality, release, or platform engineering
• Proven experience building, testing, or evaluating systems where AI agents do the actual work
• Deep GitHub Actions / GitHub CI/CD (container builds, pipeline automation)
• Python and/or TypeScript (flexible on language for the right person)
• Experience with containerized infrastructure and modern CI/CD practices
• Track record of taking full ownership of a process or system - deciding and executing independently

Must-Haves:

• Startup mindset with the autonomy to make and implement decisions without close guidance
• Comfortable owning trustworthiness of test signal in an AI-native environment
• Strong software engineering depth - this is an engineering role, not traditional QA

Bonus Experience:

• Familiarity with a major cloud or data platform (AWS, Azure, Snowflake, Databricks)
• Modernizing legacy QA / DevOps practices inside a larger org
• Building internal AI-assisted tooling (test generation, log analysis, agent workflows)

This is a rare shot to define quality and release from day one at a company moving fast. If you tick every box above and want to own the system that makes shipping safe, get in touch for a fast response.