Software Engineer, Enterprise AI Platform
OpenAI · San Francisco, CA · Finance
About this role
OpenAI is hiring a mid-level Software Engineer based in San Francisco, CA. The posting calls out experience with RAG, System Design, API Development, Backend Development. Compensation is listed at $230,000–$385,000 per year.
- Role
- Software Engineer
- Function
- software engineering
- Level
- mid
- Track
- Individual contributor
- Employment
- Full-time
- Location
- San Francisco, CA
- Department
- Finance
- Posted
- May 19, 2026
More roles at OpenAI
Job description
from OpenAI careersAbout the Team
Business Systems / Enterprise Platform Technology builds the internal systems, data foundations, workflow infrastructure, and enterprise platforms that help OpenAI operate at scale. The EPT AI Pod builds AI-native internal apps, MCP connectors, multi-agent workflows, and reusable platform capabilities across Finance, People, and GTM.
About the Role
As an Enterprise Applied AI Engineer, you will build internal apps for enterprise operations and the shared platform components those apps run on. This includes MCP connectors, multi-agent orchestration, data architecture, evals, monitoring, auditability, and governance.
We’re looking for a hands-on engineer who is strong in Python, system design, enterprise integrations, data architecture, and applied AI systems. You should be excited to turn ambiguous business workflows into reliable internal products and shared infrastructure.
In this role, you will:
• Build internal apps for enterprise operations across Finance, People, and GTM
• Build MCP connectors and enterprise integrations with strong auth, permissions, idempotency, retries, and rate-limit handling
• Design end-to-end multi-agent workflows with tool routing, human approvals, audit trails, and safe action boundaries
• Design data architecture for operational AI systems, including ingestion, schemas, quality checks, lineage, and governance
• Build evals, monitoring, metrics, and regression tests for agentic workflows
• Create reusable infrastructure, patterns, and components that other enterprise teams can build on