Senior AI / Full-Stack Engineer
- Background in B2B SaaS or product-led companies.
- 5+ years of full-stack development experience, with strong fluency in either TypeScript/Node or Python (ideally both) and a modern frontend framework (React, Next.js, or Angular).
- Hands-on agent work: tool or function calling, multi-step orchestration, retrieval, structured output, evals, guardrails, and managing cost and latency.
- Production-level use of AI coding tools (Claude Code, Cursor, Copilot, etc.). You have shipped LLM features to paying B2B customers.
- Hands-on experience with CI/CD, containerization (Docker), and at least one major cloud (GCP, AWS, or Azure). Solid grasp of DevOps fundamentals: IaC, monitoring, logging, alerting.
- Comfortable working in a fast-moving environment where priorities shift and you're expected to own outcomes.
- Very strong written English (C1 or C2). We write things down.
- You work well as a peer on a team of senior engineers: you review their code, and they review yours.
- Own features end to end: the React and Next.js front end, the TypeScript APIs, Postgres, and the deploy. Must have strong PR hygiene.
- Design, build and ship LLM agents and features in our product: tool calling over our APIs and data, multi-step workflows, retrieval and structured output.
- Build the evals, guardrails and logging that prove those features work, and keep the cost and latency of each model call in check.
- Turn vague problems from contractors (project managers, superintendents, foremen) into scoped features and talk to those users when it helps.
- Ship small, frequent releases through CI/CD: automated tests, a staging environment, container deploys on Google Cloud.
- Translate requirements into clean, tested, maintainable code with strong PR hygiene.
- Use AI coding assistants every day and share the workflows with the team.
- Work directly with product, other engineers, and occasionally customers. Bridge feature work and infra reliability. Review code thoughtfully and mentor where it helps.
- Prior startup experience where you were the only owner of an area.
- A background in construction, the trades or field services.
- Google Cloud, especially Cloud Run.
- Multi-tenant SaaS.
- Terraform and GitHub Actions.
- Public work that shows how you build with AI: open source, write-ups or talks.
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