Software Engineer - AI Tooling

Supabase

WorldwideFully remoteFull TimeMid Level, SeniorInformation Technology
Posted 2h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 2 hours ago · apply link checked 1 hour ago

About the role

Responsibilities

  • Build and improve the MCP server, agent skills, agents and the Assistant
  • Make new Supabase products usable by agents via tools, skills and evals
  • Drive an eval-first approach with instrumentation and quality gates
  • Design how documentation and product knowledge are exposed to agents
  • Build patterns helping customers add AI to their apps on Edge Functions
  • Enable teams to contribute to AI Tooling with clear paths and templates

Requirements

  • 5+ years of professional software engineering experience
  • Strong TypeScript and JavaScript ecosystem knowledge
  • Experience building developer tools or platform primitives
  • Experience with evaluation frameworks measuring AI quality and task success
  • Solid Postgres and relational database practice
  • Clear written communication in async, globally distributed teams

Preferred Qualifications

  • Experience with vector databases and embeddings, ideally pgvector
  • Customer-facing AI features or agents shipped
  • Braintrust or similar eval and tracing platform experience
  • Open-source contributions or maintained developer tooling

Benefits

  • Fully remote with WeWork or co-working allowance
  • ESOP equity ownership
  • Tech allowance for work environment
  • 100% employee health insurance, 80% dependents
  • Annual education allowance

About the Company

Supabase is the Postgres development platform providing Database, Auth, Storage, Edge Functions, Realtime and Vector Search. The team is born-remote and open-source-first.

What we look for

  • 5+ years of professional software engineering experience
  • Strong TypeScript and JavaScript ecosystem knowledge
  • Experience building developer tools or platform primitives
  • Experience with evaluation frameworks measuring AI quality and task success
  • Solid Postgres and relational database practice
  • Clear written communication in async, globally distributed teams
  • Experience with vector databases and embeddings, ideally pgvector
  • Customer-facing AI features or agents shipped
  • Braintrust or similar eval and tracing platform experience
  • Open-source contributions or maintained developer tooling
JavaScriptTypeScriptAICI/CDPostgresGitVector SearchpgvectorBraintrust
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