Software Engineer, Codex Enterprise at OpenAI

London, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Enterprise Software, TechnologyIndustries

Requirements

Strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience
Proficient in one or more backend languages (e.g., Python, Go, Rust) and distributed systems concepts, with a focus on reliability, observability, and security
Have built developer tools (CLI/IDE/SDK) or agent/sandboxed execution environments, especially in, or for, large enterprises. Experience delivering software on-prem would be a bonus
Hands-on experience with enterprise and large-platform foundations such as identity (SAML/OIDC), SCIM, RBAC, audit logging, and data retention controls
Experience working directly with customers as a customer engineer, solutions engineer or forward-deployed engineer
Enjoy 0 -> 1 environments, can navigate ambiguity, and bring crisp product thinking to technical trade-offs

Responsibilities

Ship enterprise-grade capabilities for Codex, including analytics and usage reporting, audit and compliance logging, sandbox and permissioning, admin roles and policy controls, regional execution and data residency, and on-prem orchestration
Design and build robust, full-stack services and APIs that power Codex across all surfaces including web, CLI, IDEs, Slack, and CI/CD, with strong observability and SLOs
Integrate with enterprise identity and governance systems (e.g., SSO/SAML/OIDC, SCIM, RBAC, policy enforcement), and build data-access patterns that are secure, performant, and compliant for large customers
Work closely with GTM teams and directly with enterprises to understand real-world developer workflows
Collaborate cross-functionally with product, research, design, and customer teams to deliver quickly while maintaining a high bar for quality and user experience
Own systems end-to-end (architecture, implementation, production operations) with a strong bias for both quality and velocity

Skills

Key technologies and capabilities for this role

Full-Stack DevelopmentSoftware ArchitectureProduction OperationsAnalyticsUsage ReportingAudit LoggingComplianceSandboxingPermissioningPolicy ControlsData ResidencyOn-Prem Orchestration

Questions & Answers

Common questions about this position

What kind of experience is needed to thrive in this role?

You need strong software engineering fundamentals and experience turning ideas into productionized systems, thinking holistically about speed, performance, and user experience. Proficiency in one or more backend languages like Python, Go, or Rust, along with distributed systems concepts focusing on reliability, observability, and security, is required. Experience building developer tools such as CLI is also key.

What does the Codex team focus on?

The Codex team builds an AI software engineer for pairing, delegating tasks, or proactive work, operating across research, engineering, product, and infrastructure. They own the full lifecycle of experimentation, deployment, and iteration on novel coding capabilities. The Codex Enterprise sub-team brings this to large companies safely, securely, and at scale.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Software Engineer role?

Strong candidates have software engineering fundamentals, proficiency in backend languages like Python, Go, or Rust, experience with distributed systems, reliability, observability, security, and building developer tools. They excel at owning systems end-to-end with a bias for quality and velocity, and can collaborate cross-functionally while working directly with customers and GTM teams.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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