AI Deployment Engineer - Startups in London

AI Deployment Engineer - Startups in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Doist

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 growth and innovation.
  • Why this job: Make a real impact in the AI startup ecosystem while advancing your career.
  • Qualifications: Strong software engineering skills and experience with AI applications.

The predicted salary is between 60000 - 80000 £ 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 Open AI’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 Open AI’s research and products.

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.

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

  • 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 Open AI

Open AI 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.

We value many different perspectives, voices, and experiences that form the full spectrum of humanity.

Equal Opportunity Statement

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.

Open AI Global Applicant Privacy Policy.

#J-18808-Ljbffr

AI Deployment Engineer - Startups in London employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Deployment Engineer - Startups in London

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Doist or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Doist.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Doist.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Doist that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

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

Software Engineering
AI Fundamentals
Machine Learning Engineering
Data Science
Prototyping
Debugging
Evaluation Design

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Doist.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Doist and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Doist

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Doist uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.