At a Glance
- Tasks: Build and deploy real-world AI features that solve actual user problems.
- Company: Fast-growing tech startup backed by top-tier VCs with a dynamic team.
- Benefits: Visa sponsorship, relocation support, meals, and tools covered.
- Other info: Join a tight-knit team focused on high standards and trust.
- Why this job: Make an impact from day one by shipping AI features directly to users.
- 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 While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems.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 $4.5 m 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: Build & Deploy Real‑World AI employer: Seamflow
Join a dynamic and innovative team in London, where we are revolutionising industries with cutting-edge AI solutions. As an Applied AI Engineer, you'll thrive in a high-ownership environment that fosters collaboration and creativity, with opportunities for rapid personal and professional growth. Enjoy comprehensive relocation support, a tight-knit culture of trust, and the chance to make a tangible impact from day one.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI Engineer: Build & Deploy Real‑World AI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at companies you admire. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those related to AI and real-world applications. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to applied AI. Think about how you would approach real-world problems and be ready to discuss your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Applied AI Engineer: Build & Deploy Real‑World AI
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just ticking boxes but genuinely excited about building and deploying real-world AI solutions.
Tailor Your Experience:Make sure to highlight your relevant experience with Python and LLM tooling. We’re looking for someone who can integrate AI into product workflows, so be specific about your past projects and how they relate to what we do.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we want to understand your thought process!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves.
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, especially LLMs. Be ready to discuss your experience with Python and any modern tooling you've used. They’ll want to see that you can not only build but also understand the intricacies of AI systems.
✨Showcase Real-World Applications
Prepare examples of how you've applied AI to solve real-world problems. Discuss specific projects where you’ve designed and deployed features that improved user workflows. This will demonstrate your ability to think beyond just theory and into practical implementation.
✨Be Ready for Problem-Solving Scenarios
Expect to tackle some hypothetical scenarios during the interview. They might ask how you would approach debugging a model failure or improving an existing feature. Think through your problem-solving process and be prepared to articulate it clearly.
✨Emphasise Collaboration and Communication
Since this role involves customer interaction and teamwork, highlight your experience working in collaborative environments. Share instances where you’ve communicated complex ideas effectively, especially when dealing with unclear requirements or evolving projects.
