AI Tooling Engineer

Supabase

. 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.

Posted 4/27/2026full-timeRemote • 🌎 Anywhere in the WorldMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

JavaScriptPostgresTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

TypeScriptJavaScriptnpmES modulesbundlersbrowser compatibilityevaluation frameworksPostgresvector databasespgvector

Soft Skills

strong judgmentstrong communication skillscross-functional collaboration