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

Founding AI Quality & Release Engineer | Python / TypeScript | Agentic Testing / CI/CD | Must have startup experienceLocation: Fully Remote (US or Canada) - optional office space for those who want itPackage: $180,000 - $200,000 + meaningful equity - Can go to $220,000 if you tick every boxEligibility: 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 engineerHands-on AI-native quality engineering (testing or evaluating agentic / LLM-based systems) within the last 12 monthsStrong GitHub Actions and GitHub-based CI/CD (container builds, pipeline automation)Python and/or TypeScriptStartup / scale-up experienceHappy as a pure hands-on IC who writes code most daysJoin 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 symptomIt is not a release gatekeeper approving builds on intuition - you build systems that make readiness visible and stop unsafe releases automatically, with evidenceIt is not a hidden 24/7 on-call role - business-hours escalations only, with production on-call staffed separately as it maturesRequired Background:7 - 15 years across quality, release, or platform engineeringProven experience building, testing, or evaluating systems where AI agents do the actual workDeep 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 practicesTrack record of taking full ownership of a process or system - deciding and executing independentlyMust-Haves:Startup mindset with the autonomy to make and implement decisions without close guidanceComfortable owning trustworthiness of test signal in an AI-native environmentStrong software engineering depth - this is an engineering role, not traditional QABonus Experience:Familiarity with a major cloud or data platform (AWS, Azure, Snowflake, Databricks)Modernizing legacy QA / DevOps practices inside a larger orgBuilding 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.