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Software Development

Software Engineer, Model Deployment- ChatGPT Engineering

OpenAI · London, United Kingdom · full-time · Hybrid

Software Developmentfull-timeHybridLondon, United Kingdom£194K – £280K
Applied AIApplied AI Engineering
RemoteJobs editorial overview

Strategic Overview

Software Engineer, Model Deployment- ChatGPT Engineering at OpenAI is a dev opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.

The published role emphasizes work such as Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.

The role is listed for London, United Kingdom with hybrid working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Applied AI, Applied AI Engineering.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationLondon, United Kingdom
WorkplaceHybrid
Employmentfull-time
Salary£194K – £280K
PostedAug 17, 2026
Last seenOct 25, 2026
Role context

About This Role

ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale.

Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage.

What the role delivers

Key Responsibilities & Objectives

  • Build and evolve the platform used to deploy, configure, and manage models across ChatGPT.
  • Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.
  • Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.
  • Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • Five or more years of software engineering experience building production infrastructure.
  • Strong programming skills in Go, Python, C++, Rust, or a comparable language.
  • Experience designing or operating highly available distributed systems.
Compensation & benefits

Salary & Benefits

Published compensation: £194K – £280K

Live market comparison

Salary Benchmark

This role’s published compensation is compared with current employer-disclosed salary ranges for the same role in the same currency.

This job£194K – £280K
Current market range£75,000 – £485,000
Comparable jobs17

Benchmark uses active employer job postings in our database and excludes this listing. It is not a third-party salary estimate, and currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

About the Team

ChatGPT relies on a large and growing GPU fleet to serve inference workloads reliably and efficiently. We develop the systems and tools that make it possible to introduce new models, manage production deployments, respond to operational issues, and use infrastructure effectively at scale.

Our work spans distributed systems, platform engineering, infrastructure automation, and developer experience. We partner closely with research, infrastructure, and product teams to make model deployment more reliable, more efficient, and easier to manage.

About the Role

We are looking for a software engineer with experience building or operating large-scale production systems.

You will design and develop systems that support the model lifecycle in production, including deployment orchestration, configuration management, operational automation, reliability, and capacity management. You will help transform complex operational processes into scalable platform capabilities that enable teams across OpenAI to deploy and manage models with greater confidence and less manual effort.

This role is a good fit for engineers who enjoy solving complex operational problems and building software that makes production infrastructure easier to run at scale.

In This Role, You Will

  • Build and evolve the platform used to deploy, configure, and manage models across ChatGPT.

  • Develop systems for deployment orchestration, model rollouts, operational visibility, and production readiness.

  • Create abstractions and tooling that simplify complex infrastructure and improve the developer experience.

  • Automate operational workflows, including incident detection, diagnosis, mitigation, and recovery.

  • Improve the reliability, scalability, and efficiency of model deployments and the infrastructure that supports them.

  • Build systems that support capacity planning, resource allocation, and infrastructure utilization.

  • Partner with research, infrastructure, and product engineering teams to identify common challenges and deliver reusable platform capabilities.

  • Shape the technical direction of the model management platform as ChatGPT and its underlying systems continue to evolve.

You Might Thrive in This Role If You

  • Have built or operated internal platforms, distributed systems, or large-scale production infrastructure.

  • Enjoy turning complex operational problems into reliable software and reusable abstractions.

  • Have experience with deployment systems, orchestration, configuration management, or infrastructure automation.

  • Understand production reliability, observability, capacity planning, and incident response.

  • Care about developer experience and building tools that make other engineering teams more effective.

  • Are comfortable working across organizational boundaries and taking ownership from system design through production operation.

  • Thrive in fast-moving environments with significant technical ambiguity.

  • Are interested in model-serving or ML infrastructure, but do not need specialized experience with GPUs or low-level hardware.

Qualifications

  • Five or more years of software engineering experience building production infrastructure.

  • Strong programming skills in Go, Python, C++, Rust, or a comparable language.

  • Experience designing or operating highly available distributed systems.

  • Experience with platform engineering, infrastructure engineering, production engineering, site reliability engineering, or similar disciplines.

  • Strong systems design, debugging, and operational problem-solving skills.

  • Strong communication skills and experience collaborating across engineering teams.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This dev opening is a useful opportunity for candidates whose experience matches Applied AI, Applied AI Engineering. Its strongest career signal is the scope of the work itself — particularly Build and evolve the platform used to deploy, configure, and manage models across ChatGPT. — rather than a generic title alone.

Resume & Application Strategy

For the application, mirror the employer's language where it truthfully matches your background: foreground Applied AI, Applied AI Engineering, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.

Source transparencyashby

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.