At a Glance
- Tasks: Collaborate with startups to optimise AI systems and improve product quality.
- Company: Join OpenAI, a leader in AI research and deployment.
- Benefits: Hybrid work model, relocation assistance, and a supportive team culture.
- Other info: Dynamic role with opportunities for personal and professional growth.
- Why this job: Shape the future of AI while working on exciting projects with innovative startups.
- Qualifications: Strong software engineering skills and experience with AI applications.
The predicted salary is between 60000 - 80000 ÂŁ per year.
The AI Deployment Engineering team works closely with frontier startups. We are trusted advisors to, and thought partners with, startups to ensure that OpenAI’s technology is deployed safely and effectively, whilst also partnering with engineering, research, and product to turn those insights into evaluation systems, product improvements, and better model behavior. This team sits at the intersection of customer reality and model quality. We combine hands‑on technical depth with strong product judgment, helping translate complex, high‑value use cases into clear signals that can improve both the customer experience and the underlying systems.
About the role
We are seeking a technically proficient, product‑minded engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, helping them optimize their own systems and turning those learnings into durable improvements across OpenAI’s research and products. You will partner deeply on complex workflows, identify the gaps that matter, and help transform those gaps into reproducible evaluations, technical insights – helping shape OpenAI's research and product direction. This role is well suited to engineers who are equally comfortable debugging a workflow, iterating on prompts or agents, designing evaluations, and collaborating across research and product. You should be excited by ambiguous, high‑impact problems and motivated by the opportunity to shape how advanced AI systems improve in practice. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance.
In this role, you will:
- Work directly with strategic startup customers to understand critical workflows, uncover failure modes, and identify high‑impact opportunities for improvement.
- Prototype and iterate on prompts, agents, and workflow designs to better understand system behavior and unlock customer value.
- Synthesize and deliver valuable feedback to the Product and Research teams, turning real usage patterns into clear, reproducible evals, benchmarks, and technical artifacts that improve model and product quality and ensure customer‑grounded learnings influence roadmap and model development.
- Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases.
- Operate with strong judgment in ambiguous environments, balancing immediate technical problem‑solving with longer‑term system improvement.
- Build relationships within the startup ecosystem, serving as a technical partner to both individual customers and the broader community.
You'll thrive in this role if you:
- Have strong software engineering & AI fundamentals. For example, experience as a startup CTO, software engineer, ML engineer, Data Scientist or equivalent. Experience shipping production systems end‑to‑end is a strong plus.
- Have experience as a technical founder, or engineer at an early stage startup.
- Have familiarity with, or interest in, model training pipelines and reinforcement learning.
- Have experience building AI applications, agents, or evaluation systems, and can reason clearly about model behavior in complex workflows.
- Are comfortable working directly with highly technical users and translating their challenges into concrete technical signals.
- Can move fluidly between prototyping, debugging, evaluation design, and cross‑functional collaboration.
- Communicate clearly across technical and non‑technical audiences.
- Bring high agency, strong product sense, and a bias toward building durable improvements rather than one‑off fixes.
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link. 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.
AI Deployment Engineer - Startups employer: OpenAI
Contact Detail:
OpenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Deployment Engineer - Startups
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and startup scene. Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and deployment. This gives potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s products and challenges. Think about how your experience can help solve their problems. Tailor your responses to show you understand their needs and can bring value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our mission.
We think you need these skills to ace AI Deployment Engineer - Startups
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Deployment Engineer role. Highlight your experience with startups and any relevant technical skills that align with what we’re looking for. This shows us you’re genuinely interested and have done your homework!
Showcase Your Technical Skills: We want to see your technical prowess! Include specific examples of projects where you've built AI applications or worked on complex workflows. Don’t just list your skills; demonstrate how you’ve applied them in real-world scenarios.
Communicate Clearly: Since you'll be working with both technical and non-technical audiences, it’s crucial to showcase your communication skills. Use clear, concise language in your application to convey your ideas effectively. We love candidates who can bridge the gap between tech and business!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at OpenAI
✨Know Your Tech Inside Out
Make sure you brush up on your software engineering and AI fundamentals. Be ready to discuss your experience with production systems, model training pipelines, and any relevant projects you've worked on. This role requires a solid understanding of complex workflows, so be prepared to dive deep into technical discussions.
✨Showcase Your Problem-Solving Skills
During the interview, highlight your ability to tackle ambiguous, high-impact problems. Share specific examples of how you've identified gaps in systems or processes and turned them into actionable improvements. This will demonstrate your strong product sense and your capacity to balance immediate fixes with long-term solutions.
✨Communicate Clearly and Effectively
You’ll need to interact with both technical and non-technical audiences, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas clearly, whether you're discussing a technical challenge with an engineer or presenting insights to a broader team.
✨Build Relationships and Network
Since this role involves working closely with startups, show your enthusiasm for building relationships within the startup ecosystem. Be ready to discuss how you've collaborated with others in the past and how you plan to engage with customers and the community in this new role.