Forward Deployed Engineer - London

Forward Deployed Engineer - London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
Doist

At a Glance

  • Tasks: Lead complex deployments of AI models and collaborate with top-tier customers.
  • Company: Join OpenAI, a pioneering AI research and deployment company.
  • Benefits: Hybrid work model, relocation assistance, and travel opportunities.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Make a real impact in AI by turning research into production systems.
  • Qualifications: 5+ years in engineering, customer-facing experience, and coding skills in Python or JavaScript.

The predicted salary is between 70000 - 90000 £ per year.

About the Team

Open AI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems.

We operate at the intersection of customer delivery and core platform development.

About the Role

Forward Deployed Engineers (FDEs) lead complex end‑to‑end deployments of frontier models in production alongside our most strategic customers.

You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams.

You will measure success through production adoption, measurable workflow impact, and eval‑driven feedback that changes product and model roadmaps.

You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams.

This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

Responsibilities

  • Own technical delivery across multiple deployments from first prototype to stable production.
  • Build full‑stack systems that deliver customer value and sharpen how we learn.
  • Embed closely with customer teams, understand their needs, and guide adoption of what you build.
  • Scope work, sequence delivery, and remove blockers early.
  • Make trade‑offs between scope, speed, and quality; adjust plans to protect delivery.
  • Contribute directly in the code when progress or clarity depends on it.
  • Codify working patterns into tools, playbooks, or building blocks that others can use.
  • Share field feedback that helps Research and Product understand where the models succeed and where they can improve.
  • Keep teams moving through clarity and follow‑through.

Qualifications

  • You might thrive in this role if you
  • Bring 5+ years of engineering or technical deployment experience that includes customer‑facing work.
  • Have scoped and delivered complex systems in fast‑moving or ambiguous environments.
  • Write and review production‑grade code across frontend and backend using Python, Java Script, or comparable stacks.
  • Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience.
  • Simplify complexity and make fast, sound decisions under pressure.
  • Communicate clearly with engineers, product teams, and customer stakeholders.
  • Spot risks early and adjust without slowing down.
  • Model calm and judgment when the stakes are high.
  • 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, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

Equal Employment 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.

For additional information, please see Open AI’s Affi… Statement.

Background Checks

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.

Compliance Notice

To notify Open AI 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.

Accommodations

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

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Forward Deployed Engineer - 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 Forward Deployed Engineer - 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

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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 Forward Deployed Engineer - London

Technical Deployment Experience
Customer-Facing Skills
System Design
Full-Stack Development
Production-Grade Code Writing
Python
JavaScript

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.