[Hiring] Founding AI Quality & Release Engineer @Raydar

Role Description

Our client is a seed-stage enterprise AI company building autonomous data agents that execute complex engineering workflows inside customer-controlled cloud environments. This is the company's first dedicated quality-infrastructure hire. It is a software engineering role, not a traditional manual QA position. You will write code most days and own the verification and release system that carries every build from merge to customer.

• Roughly 70% of the role is AI-powered verification through:
  • Agent-run test harnesses
  • LLM graders
  • Regression coverage
  • Flake management
  • Automated release gates
• Roughly 30% is release and environment engineering across:
  • CI health
  • Artifact publication
  • Deployment pipelines
  • Reliable demo and staging environments
• You will:
  • Eliminate silent skips
  • Build fresh-install and upgrade verification
  • Turn escaped bugs into permanent regression tests
  • Expand natural-language UAT executed by coding agents
  • Own release candidates and artifact publication
  • Automate credentials and certificates
  • Make release readiness visible through trusted system evidence

Qualifications

• 7 to 15 years in quality engineering, release engineering, platform engineering, developer productivity, SDET-adjacent engineering, or a similar software role
• Production-quality Python and strong software engineering fundamentals
• Deep fluency with GitHub Actions or an equivalent CI system
• Genuine interest and practical judgment in LLM-driven and agent-driven verification
• Experience with Docker, Kubernetes, Helm, AWS, cloud deployment mechanics, secrets, credentials, and certificates
• High ownership and clear technical communication through runbooks, dashboards, retrospectives, and operating policies
• Full work authorization in either the United States or Canada. Visa sponsorship and transfer support are not available

Requirements

• Nice to have: TypeScript, Snowflake Native Apps, Playwright, LLM-as-judge or grader design, nondeterministic system testing, and early-stage startup quality infrastructure

Benefits

• $170,000 to $200,000 base salary, based on qualifications and experience
• Competitive equity and benefits
• Remote-first across the United States and Canada
• Periodic team offsites and flexible hybrid access to the New York City office for local team members
• High ownership over a founding technical function at a $5M-funded enterprise AI company