AI Deployment Engineer - Startups
AI Deployment Engineer - Startups

AI Deployment Engineer - Startups

Full-Time 60000 - 80000 ÂŁ / year (est.) Home office (partial)
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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: Competitive salary, hybrid work model, and relocation assistance.
  • Other info: Dynamic role with opportunities for impactful problem-solving and career growth.
  • Why this job: Shape the future of AI while working with innovative startups.
  • Qualifications: Strong software engineering skills and experience with AI applications.

The predicted salary is between 60000 - 80000 ÂŁ per year.

Location: London, UK

Employment Type: Full time

Department: Go To Market

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 behaviour. 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 behaviour 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 behaviour 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: Slope

OpenAI is an exceptional employer for those looking to make a meaningful impact in the AI landscape, particularly as an AI Deployment Engineer in London. With a hybrid work model that promotes work-life balance, employees benefit from a collaborative culture that values innovation and continuous learning, alongside opportunities for professional growth through direct engagement with cutting-edge startups. The company's commitment to safety and inclusivity ensures that every team member's voice is heard, making it a rewarding place to develop your career while shaping the future of AI technology.
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Contact Detail:

Slope 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 tangible look at what you can do and how you think.

✨Tip Number 3

Prepare for interviews by diving deep into the company’s products and challenges. Understand their tech stack and think about how you can contribute. Tailor your responses to show how your experience aligns with their needs.

✨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 about joining our team!

We think you need these skills to ace AI Deployment Engineer - Startups

Software Engineering
AI Fundamentals
Machine Learning Engineering
Data Science
Prototyping
Debugging
Evaluation Design
Cross-Functional Collaboration
Model Training Pipelines
Reinforcement Learning
Technical Communication
Product Sense
Problem-Solving
Customer Engagement

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 in the position!

Showcase Your Technical Skills: Don’t hold back on detailing your software engineering and AI fundamentals. We want to see your hands-on experience, especially if you've worked on production systems or have been involved in model training pipelines. Let us know how you’ve tackled complex workflows!

Communicate Clearly: When writing your application, aim for clarity and conciseness. We appreciate candidates who can communicate complex ideas simply, as this is crucial when working with both technical and non-technical audiences. Make it easy for us to understand your journey!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!

How to prepare for a job interview at Slope

✨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 experiences where you identified gaps and implemented solutions. Highlight your approach to balancing immediate fixes with long-term improvements, as this reflects the mindset we value at StudySmarter.

AI Deployment Engineer - Startups
Slope

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