
51 - 200 employees
Founded 2020
âïž SaaS
đ API
đ€ Artificial Intelligence
đ° $80M Series B on 2022-05
SaaS âą API âą 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.
đ„ 1 hour ago
Where this job comes from
Posted on Supabase's careers page, not through a job board
First seen by Remote Rocketship 1 hour ago
Still open on Supabase's site. Checked 28 minutes ago.

51 - 200 employees
Founded 2020
âïž SaaS
đ API
đ€ Artificial Intelligence
đ° $80M Series B on 2022-05
SaaS âą API âą 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.
âą Build and improve AI tooling including the MCP server, agent skills, agents, and the dashboard Assistant âą Make new Supabase products usable by agents through tools, skills, and evaluations âą Prototype and evaluate tooling for emerging AI technologies and determine what should reach production âą Build evaluations, instrumentation, feedback loops, quality KPIs, and regression gates âą Analyze how customers and agents use shipped tools and improve tooling, interfaces, and documentation âą Design how documentation and product knowledge are exposed to agents and measure effectiveness âą Build patterns and tools such as MCP on Edge Functions, vector embeddings, and agents running on Edge Functions âą Enable contributions to Supabaseâs agentic capabilities through contribution paths, templates, documentation, and review practices âą Centralize shared AI logic for reuse across teams âą Ship battle-tested tools with strong tests, benchmarking, and stress testing âą Collaborate with AI Tooling Infrastructure engineers on reliability, authentication, and hosting âą Work across Docs, CLI, Frontend, SDK, and other teams to deliver a coherent developer experience âą Stay close to the fast-moving AI ecosystem
âą 5+ years of professional software engineering experience âą Strong TypeScript skills and knowledge of the JavaScript ecosystem, including npm, ES modules, bundlers, and compatibility âą Deep familiarity with the AI ecosystem, current tools, agent patterns, and practical trade-offs âą Experience building developer tools, product interfaces, or platform primitives used by engineers âą Experience designing or using evaluation frameworks for AI quality, reliability, and task success âą Understanding of baselines, variance, and cost in AI evaluation âą Strong judgment about effective AI workflows and avoiding fragile or gimmicky experiences âą Experience writing tests and validating reliability in real-world conditions âą Knowledge of Postgres and relational database practices âą Clear written communication and ability to work across product, engineering, and documentation teams âą Ability to thrive in asynchronous, globally distributed teams âą Comfort navigating ambiguity and moving quickly âą Nice to have: experience with vector databases and embeddings, ideally pgvector âą Nice to have: shipped customer-facing AI features or agents âą Nice to have: documentation or structured knowledge designed for developers or agents âą Nice to have: Braintrust or similar evaluation and tracing platform experience, or CI quality gates âą Nice to have: open-source contributions or maintained developer tooling âą Nice to have: experience across several product surfaces or teams
âą Fully remote work âą WeWork membership or co-working allowance usable anywhere in the world âą ESOP (equity ownership) âą Tech allowance for laptop, monitor, headphones, or other work equipment âą Health insurance: 100% covered for employees and 80% for dependents âą Annual company off-sites âą Flexible, asynchronous work âą Annual education allowance for courses, books, conferences, or other learning
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
đ September 23
Senior AI Engineer building AI, data pipelines, and production services for C-MOREâs enterprise risk and compliance platform. Delivering data warehouse, dashboard, and version 2.0 capabilities.
đ July 21
51 - 200
Senior AI Engineer developing and enhancing chatbot solutions for telecommunications clients. Focused on multilingual features, AI-driven testing, and improving customer interaction efficiencies.
đ March 25
Senior Applied AI Engineer creating AI agents that transform natural language to applications at Bolt.new. Join a fully remote team innovating on AI-powered development.
đ Anywhere in the World
đ° $105.5M Series B - StackBlitz on 2025-01
â° Full Time
đ Senior
đ€ AI Engineer
đ January 23
AI Researcher focused on AI architecture research analyzing and advancing next-gen model architectures in a remote global team.
PyTorch
đ January 23
Machine Learning Engineer focusing on AI architecture research and prototyping next-generation models. Collaborating with a small team to influence a Series-A company's technical direction.
PyTorch