Full Stack Software Engineer (Applied Artificial Intelligence)
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- Review and iterate on AI-generated code (from tools like Claude Code, OpenClaw, Codex, Cursor) and feed that review back as training signal to make the agents better over time
- Architect the codebase for AI legibility: clean data models, strong documentation, deprecation of legacy patterns that cause agents to fail
- Build and maintain the automated product pipeline: signal detection, agent-generated requirements, AI-driven development, AI code review, commit
- When agents break in production, you own the diagnosis and fix
- Build tools and workflow infrastructure that let operations, sales, and customer success teams operate the platform themselves, without filing engineering tickets
- Translate what internal teams need into automated, reliable systems
- Help non-engineers understand what is possible and then make it happen
- Build features across the frontend and backend: React/TypeScript on the front, Node.js or Elixir on the back, Postgres underneath
- Own the full lifecycle from requirements to production
- Debug issues across the entire stack
- Actively observe the production environment: usage patterns, agent failures, edge cases, provider behavior
- This role requires a high degree of personal accountability for system health. When things are running well, that is because you have built the monitoring and alerting to catch problems early. Getting there takes commitment
- Hands-on experience with AI coding agents (Claude Code, OpenClaw, Codex, Cursor, or similar) in a real development workflow
- Clear, direct communication skills, written and verbal
- Proficiency with React/TypeScript and at least one backend language (Node.js, Elixir, Ruby on Rails, or similar)
- Strong product instincts: you can take ambiguous user signals and turn them into concrete technical requirements without heavy PM support
- 5+ years of experience as a full stack engineer
- High ownership mentality: you do not wait to be told something is broken
- Experience with Postgres or similar relational databases
- Experience designing feedback loops that improve AI output quality over time
- Experience building or operating agentic workflows in production
- Background at a startup or high-growth company
- Experience with CI/CD, DevOps, or cloud infrastructure
- Experience with REST or GraphQL API design