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 vibrant team culture.
- Other info: Dynamic role with opportunities for impactful contributions and career growth.
- Why this job: Shape the future of AI while working with innovative startups.
- Qualifications: Strong software engineering skills and experience in AI or startups.
The predicted salary is between 60000 - 80000 ÂŁ per year.
About the team
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 and 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.
AI Deployment Engineer - Startups employer: AI Chopping Block, Inc.
Contact Detail:
AI Chopping Block, Inc. 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! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them. Share your work on platforms like GitHub or LinkedIn to demonstrate your technical prowess and creativity.
✨Tip Number 3
Prepare for those interviews! Research the company and its products thoroughly. Be ready to discuss how your experience aligns with their needs, especially around AI deployment and engineering. Practice common interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us. Tailor your application to reflect your passion for AI and startups, and don’t hesitate to follow up after applying to show your enthusiasm.
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. Show us how you can help push the frontier of advanced AI!
Showcase Your Technical Skills: We want to see your strong software engineering and AI fundamentals shine through. Include specific examples of projects or systems you've worked on, especially those that involved debugging workflows or building AI applications. This is your chance to impress us with your technical prowess!
Communicate Clearly: When writing your application, keep it clear and concise. We value communication skills, so make sure you can explain complex ideas simply. Remember, you’ll be working with both technical and non-technical audiences, so show us you can bridge that gap!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at AI Chopping Block, Inc.
✨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 is all about technical depth, so showing that you can debug workflows and iterate on prompts will really impress.
✨Understand the Startup Ecosystem
Familiarise yourself with the startup landscape, especially those in AI. Research some of the companies you might be working with and their challenges. Being able to speak knowledgeably about their needs and how OpenAI's technology can help will set you apart from other candidates.
✨Communicate Clearly
You’ll need to bridge the gap between technical and non-technical audiences. Practice explaining complex concepts in simple terms. During the interview, demonstrate your ability to translate technical challenges into actionable insights, as this is crucial for collaborating with both customers and internal teams.
✨Show Your Problem-Solving Skills
Be prepared to tackle ambiguous problems during the interview. Think of examples from your past where you identified gaps in workflows or improved systems. Highlight your approach to balancing immediate fixes with long-term improvements, as this reflects the kind of mindset we value at StudySmarter.