Backend Software Engineer, Enterprise AI Platform

Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $230K 6 $385K 3 Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
• 401(k) retirement plan with employer match
• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend to fuel your professional growth
• Daily meals in our offices, and meal delivery credits as eligible
• Relocation support for eligible employees
• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends

More details about benefits are available during the hiring process.

About the Team

The Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAIs products and allows our customers to deploy AI themselves.

About the Role

This role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. Youll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your workfrom architecture and implementation to production operations and on-call responsibilities. Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability.

In this role, you will:

• Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.
• Design, build, and maintain secure and compliant systems to process sensitive and valuable data.
• Ensure our platform can support use cases at the scale of large enterprise customers while remaining reliable and efficient.
• Integrate data access and authentication with our production model and agent systems.
• Collaborate with product, research, and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.
• Own the reliability of the systems you build, including participation in an on-call rotation for critical incidents.

You might thrive in this role if you:

• Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.
• Are excited to bring the power of AGI to the infrastructure the world runs on today.
• Are comfortable with ambiguity and rapid change.
• Have an intrinsic desire to learn missing skills quickly.
• Have a strong talent for sharing learnings clearly with others.

Skills Mentioned

Technical Skills:

• Infrastructure design & deployment
• Networking systems
• Connecting structured/unstructured data to Large Language Models (LLMs)
• Secure & compliant data processing systems
• Data access patterns
• Authentication integration with production model/agent systems
• Enterprise data management fundamentals: security, identity & access management,

performance optimization,a reliability Soft Skills:

• Collaboration across product/research/engineering teams
• Comfort with ambiguity & rapid change
• Strong learning ability & knowledge sharing