AI Tooling Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Mid From the posting source

Work mode

Remote From the posting source

In-office days

0 days From the posting source

Schedule

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Weekend work

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Application

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Assessment

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Deadline

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About this role

AI Tooling Engineer Remote We are looking for an AI Tooling Engineer with strong expertise in JavaScript/TypeScript to help shape how developers and agents build with Supabase. As part of our engineering team, you'll work across product surfaces like the dashboard assistant, MCP, docs, and developer tooling to make Supabase a seamless platform for AI-native workflows. You'll combine product thinking, strong engineering fundamentals, and an eval-first mindset to build reliable tools, interfaces, and abstractions that serve both our own AI products and the developers building with Supabase. What You'll Own: - 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

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