Software Engineer, Enterprise AI Platform

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

Software Engineer focused on building internal AI applications and platform components for enterprise operations at OpenAI. This role involves developing multi-agent workflows, MCP connectors, data architecture, and evaluation systems for internal business processes.

What you'd actually do

  1. Build internal apps for enterprise operations across Finance, People, and GTM
  2. Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling
  3. Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries
  4. Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance
  5. Build evals, monitoring, metrics, and regression tests for agentic workflows

Skills

Required

  • Python
  • system design
  • enterprise integrations
  • data architecture
  • applied AI systems
  • backend services
  • APIs
  • workflow systems
  • integration platforms
  • enterprise systems
  • RAG
  • evals
  • monitoring
  • MCP/tool use
  • structured outputs
  • multi-agent workflows
  • ingestion
  • modeling
  • quality
  • lineage
  • governance
  • technical stakeholders
  • system owners
  • business owners
  • high ownership
  • ambiguous, cross-functional environments

What the JD emphasized

  • strong Python engineering skills
  • strong system design skills
  • practical AI systems experience
  • strong data architecture fundamentals

Other signals

  • build internal apps for enterprise operations
  • multi-agent workflows
  • evals, monitoring, metrics, and regression tests for agentic workflows