AI Tooling Engineer

Company:  Supabase
Location: remote
Closing Date: 19/06/2026
Hours: Full Time
Type: Permanent

Job Description

Job Description:

  • Build and maintain Supabase's AI tooling, including surfaces such as MCP, agent skills, and other interfaces developers and agents use to work with Supabase.
  • Progress Supabase's dashboard assistant into a genuinely useful self-serve product for debugging and day-to-day product workflows.
  • Understand how customers are using AI tools and translate those workflows into better product experiences, abstractions, and documentation.
  • Drive an eval-first approach by building and improving evaluation frameworks, instrumentation, and feedback loops across real use cases.
  • Design and improve the ways documentation and product knowledge are exposed to agents.
  • Build tools and patterns customers can use to incorporate AI into their own apps, including areas like MCP on Edge Functions, vector embeddings, and agents running on Edge Functions.
  • Centralize shared AI logic and reduce duplicated patterns across our products and services.
  • Ensure the tools we ship are **battle-tested**, with strong test coverage, benchmarking, and stress testing where appropriate.
  • Work cross-functionally with docs, CLI, frontend, API, and other teams to deliver coherent developer experiences.
  • Stay close to the fast-moving AI ecosystem and make good product and engineering decisions about what is actually useful to builders.

Requirements:

  • Strong experience in TypeScript and the JavaScript ecosystem, including npm, ES modules, bundlers, and browser compatibility concerns.
  • Deep familiarity with the AI ecosystem, including current tools, agent patterns, and practical tradeoffs.
  • Experience building developer tools, product interfaces, or platform primitives used by other engineers.
  • Experience designing or using evaluation frameworks to measure AI quality, reliability, and task success.
  • Familiarity with Postgres and database best practices.
  • Experience with vector databases and embeddings, ideally with pgvector or similar Postgres extensions.
  • Strong judgment about where AI improves user workflows and how to avoid fragile or gimmicky experiences.
  • Strong focus on writing tests and validating reliability in real-world conditions.
  • Strong communication skills and the ability to work cross-functionally across product, engineering, and documentation.

Benefits:

  • Fully Remote
  • ESOP
  • Tech Allowance
  • Health Benefits
  • Annual Off-Sites
  • Flexible Work
  • Professional Development
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