# Software Engineer - AI Tooling at Supabase

Supabase is hiring a Software Engineer - AI Tooling for a remote role. Level rates it Works on AI ●●●○; you can [apply on Supabase](https://jobsbylevel.com/go/80c71ee1-7336-417e-b11c-ec0829685a7d?utm_medium=ai-agent).

AI Level 3, AI centrality 63 out of 100. Remote (Remote, Global).

## Details

- Company: [Supabase](https://jobsbylevel.com/companies/supabase)
- AI level: AI Level 3 (score 63 out of 100)
- Location: Remote (Remote, Global)
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/80c71ee1-7336-417e-b11c-ec0829685a7d?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=software-engineer-ai-tooling-at-supabase-0bd061

## Prepare for this job

The job page lists 3 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/software-engineer-ai-tooling-at-supabase-0bd061

## Description

About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. About the Role We’re looking for a Software Engineer to join our AI Tooling team and help shape how developers and agents build with Supabase. You'll build and own our AI tooling, including agents, the MCP server, agent skills and the dashboard assistant, and as the space moves you'll build the tooling for new technologies too. You'll build it all eval-first: every tool ships with evals and metrics, so we know, with evidence, that it makes agents better rather than worse. You'll work closely with the Docs, CLI, Frontend and SDK teams, and with the AI Tooling Infrastructure engineers who run these services in production. Other teams contribute to AI Tooling to improve Supabase's agentic capabilities, and you'll help them do that while keeping the quality bar high. This role is ideal for someone who thrives in async, fast-paced environments and is excited about building developer tools that scale to millions. What You’ll Be Responsible For Build and improve the AI tooling we run today, including the MCP server, agent skills, agents and the Assistant. Make new Supabase products usable by agents from day one: tools, skills and evals for new product surfaces. Also build tooling for new AI technologies as they emerge: prototype quickly, evaluate honestly, and decide with the team what is worth taking to production. Drive an eval-first approach: build and improve evals, instrumentation and feedback loops, measure tools against a no-tool baseline, and help define the quality KPIs and gates that stop regressions shipping. Understand how customers and agents actually use what we ship, and turn that into improvements to our tooling, interfaces and documentation. Design how documentation and product knowledge are exposed to agents, and measure whether it works. Build patterns and tools that help customers add AI to their own apps, such as MCP on Edge Functions, vector embeddings and agents running on Edge Functions. Enable teams to improve Supabase's agentic capabilities through contributions to AI Tooling: clear contribution paths, templates, documentation and review practice. Centralise shared AI logic so teams reuse it rather than duplicate it. Ship tools that are battle-tested, with strong tests, benchmarking and stress testing where it counts. Work with the AI Tooling Infrastructure engineers on reliability, auth and hosting. Work across Docs, CLI, Frontend, SDK and other teams to deliver one coherent developer experience, and stay close to the fast-moving AI ecosystem. You Might Be a Good Fit If You Must have: Have 5+ years of experience in professional software engineering experience. Write strong TypeScript and know the JavaScript ecosystem well: npm, ES modules, bundlers, compatibility. Are deeply familiar with the AI ecosystem: current tools, agent patterns and practical trade-offs. You can tell a durable pattern from hype. Have built developer tools, product interfaces or platform primitives used by other engineers. Have designed or used evaluation frameworks to measure AI quality, reliability and task success, and understand baselines, variance and cost. Have strong judgement about where AI improves workflows and how to avoid fragile or gimmicky experiences. Write tests and validate reliability in real-world conditions. Know Postgres and relational database practice. Communicate clearly in writing, work across product, engineering and docs, and thrive in async, globally distributed teams. Are comfortable navigating ambiguity and moving quickly. Nice to have: Experience with vector databases and embeddings, ideally pgvector. Examples of customer-facing AI features or agents you've shipped. Examples of documentation or structured knowledge designed for

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/software-engineer-ai-tooling-at-supabase-0bd061

Source: https://jobsbylevel.com/jobs/software-engineer-ai-tooling-at-supabase-0bd061

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