At a Glance
- Tasks: Design and build AI features that solve real-world problems from start to finish.
- Company: Fast-growing tech startup backed by top-tier VCs like Coinbase and Spotify.
- Benefits: Visa sponsorship, relocation support, meals, and tools covered.
- Other info: Join a tight-knit team with high standards and no office politics.
- Why this job: Make a real impact by deploying AI solutions that transform industries.
- Qualifications: Strong Python skills and experience with modern AI tooling required.
The predicted salary is between 60000 - 80000 € per year.
We’re removing one of the last great barriers to progress in the physical world. While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems. We are rapidly growing with 7-figure revenue, backed by a 14× oversubscribed $4.5m seed round from Tier-1 VCs such as Coinbase, Reddit, Klarna, and Spotify. Our world-class team includes former unicorn founding engineers and talent from X, Google, Amazon, and Yandex. We value people who want to win and thrive in high-ownership environments. We’re building the system that lets complex, real-world work move at software speed.
We're looking for an Applied AI Engineer who thinks in user workflows and model behaviour, not benchmarks or isolated prompts. This is a role for someone who wants to decide what AI should do, build it end-to-end, and put it in users' hands.
You will fit right in if you have experience with:
- Applied AI — Design and build LLM-powered features that solve real workflows, from prompt to production
- Model Behaviour — Reason about why models fail, when to use which model, and how to make them reliable in production
- Evals & Iteration — Build evals that actually catch regressions and drive improvements, not vanity metrics
- Agents & Tooling — Design multi-step agents, tool use, and orchestration for complex domain workflows
- Document Intelligence — Extract structured data from messy real-world documents (PDFs, scans, forms, tables)
- Product Judgment — Be opinionated about what AI should do, what it shouldn't, and when 'good enough' ships
WHAT YOU WILL DO
- Ship from Day 1 — Deploy AI features to production immediately and own a real user-facing surface area
- Own it end-to-end — From problem definition to prompts, evals, monitoring, and iteration
- Solve real problems — Sit in customer calls, look at real documents, debug bad outputs, and make the system better
WHAT WE ARE LOOKING FOR TECHNICALLY
- Strong experience with Python and modern LLM tooling (OpenAI/Anthropic/Azure OpenAI SDKs, structured outputs, function calling)
- Experience building production AI systems beyond a wrapper around a chat API
- Comfortable with evals, prompt engineering, and reasoning about model failure modes
- Ability to work across the stack to integrate AI into real product workflows (TypeScript/React frontend, Python backend)
- Ability to reason about complex domain workflows, not just prompt-response
Strong plus if you have:
- Founder or ex-founder experience
- Early-stage or stealth startup background
- Founder fellowships or similar environments (EF, YC, Antler, etc.)
- Experience building AI-powered products in production
- Experience working where requirements were unclear and evolving
YOUR FIRST MONTH
- Ship an AI feature to production from day one
- Own problems end-to-end, from prompt to eval to deployment
- Do what needs doing, including looking at hundreds of real outputs, debugging edge cases, and customer interaction
WE OFFER
- Pace and purpose — In-person in London (visa sponsorship available)
- No friction — Relocation, visas, meals, and tools fully covered
- A tight-knit team — High standards, high trust, no politics
Applied AI Engineer in London employer: Seamflow
Join a dynamic and innovative team in London, where as an Applied AI Engineer, you will have the opportunity to make a tangible impact from day one. We foster a high-ownership culture that values collaboration and creativity, offering comprehensive support for relocation and a tight-knit environment that prioritises trust and excellence. With access to cutting-edge technology and the chance to work alongside industry leaders, this role promises not only professional growth but also the satisfaction of solving real-world challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your AI projects. When you apply through our website, link to your work so we can see what you can do in action!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to applied AI. Think about how you'd approach real-world problems and be ready to discuss your thought process with us.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression. It shows you're genuinely interested in the role and helps keep you on our radar.
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show Us Your Passion:When you're writing your application, let your enthusiasm for AI and problem-solving shine through. We want to see that you’re not just ticking boxes but genuinely excited about the role and what we’re building.
Tailor Your Experience:Make sure to highlight your relevant experience with applied AI and model behaviour. Use specific examples that demonstrate how you've tackled real-world problems, as this is what we care about most!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!
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 don’t miss out on any important details about the role or our team.
How to prepare for a job interview at Seamflow
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and tools, especially those mentioned in the job description like Python and LLM tooling. Be ready to discuss your past experiences with these technologies and how you've applied them to solve real-world problems.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex issues in previous roles. Think about specific instances where you’ve had to debug outputs or improve workflows. This will demonstrate your ability to own problems end-to-end, just like they want.
✨Understand User Workflows
Since the role focuses on user workflows, be prepared to discuss how you think about model behaviour in relation to user needs. Bring examples of how you’ve designed features that directly address user pain points, showing that you can think beyond just technical metrics.
✨Be Ready for a Hands-On Approach
They value candidates who are willing to dive into the nitty-gritty. Be prepared to talk about your experience with customer interactions and how you’ve used feedback to iterate on AI features. This shows you’re not just a coder but someone who cares about the end-user experience.
