Software Engineer, Enterprise AI Platform

OpenAI, Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Build internal enterprise applications for operations across Finance, People, and GTM teams using AI-native architectures
• Design and implement MCP connectors that enable secure, authenticated, and idempotent integrations with enterprise systems
• Develop multi-agent orchestration workflows with tool routing, human approval gates, audit trails, and well-defined safety boundaries for automated actions
• Architect data pipelines for operational AI systems, including ingestion, schema design, quality validation, lineage tracking, and governance controls
• Create evals, monitoring dashboards, metrics, and regression tests to validate performance, stability, and drift in agentic workflows
• Engineer reusable infrastructure components, patterns, and libraries that enterprise teams can leverage to build their own AI-powered tools
• Partner closely with system owners and business stakeholders to transform ambiguous, manual enterprise workflows into reliable, scalable internal products
• Implement robust permission models, rate-limiting, retry logic, and error handling in enterprise-facing APIs and integration layers
• Apply RAG, structured outputs, and tool-use techniques to enhance the reliability and accuracy of AI-driven operational workflows
• Ensure all AI systems adhere to compliance requirements, auditability standards, and enterprise security protocols
• Maintain high standards for system reliability, scalability, and observability in production-grade internal platforms
• Collaborate across engineering, product, and business units to align technical solutions with operational needs and risk controls
• Continuously improve platform capabilities by incorporating feedback from end-users and iterating on system design based on real-world usage
• Document architecture decisions, integration patterns, and operational runbooks for cross-team adoption and knowledge sharing
• Contribute to the design of governance frameworks that ensure responsible and transparent use of AI in enterprise contexts
• Prioritize security, privacy, and data integrity in all aspects of platform development and deployment

🎯 Requirements

• Strong Python engineering skills for backend services, MCP connectors, agent/tool workflows, eval harnesses, and data ingestion jobs
• Strong system design skills across shared infrastructure, app architecture, reliability, and scaling
• Experience building internal apps, backend services, APIs, workflow systems, or integration platforms
• Understanding of enterprise systems including controls, approvals, auditability, compliance, and permissions
• Practical AI systems experience with RAG, evals, monitoring, MCP/tool use, structured outputs, or multi-agent workflows
• Strong data architecture fundamentals, including ingestion, modeling, quality, lineage, and governance

🏖️ Benefits

• Opportunity to work on cutting-edge AI systems that directly impact enterprise operations at OpenAI
• Collaborative environment with cross-functional teams spanning engineering, product, and business units
• Access to OpenAI’s proprietary AI technologies and research breakthroughs
• Competitive compensation and equity package

Skills & Technologies

Python

Onsite

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OpenAI, Inc.

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About OpenAI, Inc.

OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.

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