AI Tooling Engineer

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🕒 May 15

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Supabase

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

☁️ SaaS

🔌 API

🤖 Artificial Intelligence

💰 $80M Series B on 2022-05

SaaS • API • Artificial Intelligence

Supabase is an open source alternative to Firebase, providing a range of backend tools designed to help developers start and scale their applications effectively. It offers features such as a full Postgres database, authentication with Row Level Security, instant APIs, Edge Functions for custom code, real-time data synchronization, and storage for large files. Developers can integrate machine learning models, utilize RESTful APIs, and take advantage of platform-integrated best of breed products. Supabase is designed to be highly portable, extendable, and user-friendly, making it a powerful choice for startups and enterprises looking to innovate quickly and efficiently.

📋 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