Full Stack Software Engineer, Jobs Platform

OpenAI OpenAI · AI Frontier · San Francisco, CA · Applied AI

This role focuses on building an AI-powered jobs platform, acting as a career agent to match workers with opportunities. The engineer will own product surfaces end-to-end, design core systems for matching and verification, and integrate new model and agent capabilities into production features. The role emphasizes building high-trust, scalable systems and iterating quickly based on user impact, working across the full stack.

What you'd actually do

  1. Own major product surfaces end-to-end to build the next-generation AI-powered jobs platform
  2. Design and ship core systems for matching, candidate verification, skills representation, and workflow automation
  3. Work with research to turn new model and agent capabilities into production features that help users prove skills, certify expertise, and find great opportunities
  4. Build high-trust, scalable systems that support millions of job seekers and employers
  5. Run experiments, talk to users, and iterate quickly to identify what drives successful outcomes, not clicks or resumes

Skills

Required

  • 5+ years of software engineering experience building highly-available user-facing products
  • Experience working across the stack (frontend + backend) and comfort owning features end-to-end

Nice to have

  • Passion for marketplaces, matching systems, or search/personalization, even if you haven't built one before
  • Interest in AI-driven UX, agents, and workflow automation (direct ML experience not required)
  • Enthusiasm for working in a fast-moving, ambiguous environment where new ideas ship quickly and user impact matters most

What the JD emphasized

  • building AI products that _directly change people’s lives_
  • career agent
  • agents, search/matching, personalization, UX, and real-world economic impact
  • AI-driven UX, agents, and workflow automation

Other signals

  • AI-powered jobs platform
  • career agent
  • matching, candidate verification, skills representation, and workflow automation
  • turn new model and agent capabilities into production features
  • AI-driven UX, agents, and workflow automation