Seamflow
Applied AI Engineer

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About Seamflow
Every plane, medical device, lift, battery, and building has to be tested, inspected, and certified before it reaches the world. It's the invisible layer that keeps the physical economy safe, and it still runs on Word documents, PDFs, spreadsheets, and email. Seamflow is the software layer for that industry. We build AI-powered workflows for certification bodies, notified bodies, and inspection companies: scheduling and resource planning, technical review, conformity assessment, field inspection, and document intelligence over messy real-world files.
Where we are
- Live in production inside some of the largest enterprises in the industry
- $4.5M seed, 14x oversubscribed, co-led by Northzone and Initialized Capital, the funds behind Spotify, Klarna, Coinbase, and Reddit. Angels include Charlie Songhurst and Mario Götze.
Demand is outstripping what we can build. That's the reason this role exists.
The team
Most of our engineers were olympiad medallists in maths, physics, or informatics before they were engineers. The team has come to us from Google, Amazon, X, Yandex, McKinsey, and Bain, and from founding-engineer seats at startups that went on to multi-billion-dollar valuations. We hire against a very high bar, and this role exists to raise it further.
The role
An Applied AI Engineer here thinks in workflows and model behaviour, not benchmarks or isolated prompts. The inputs are genuinely hard: 400-page technical files, scanned forms, tables that were never meant to be parsed, documents where a single misread classification has consequences. The bar is not a good demo. The bar is a system a reviewer trusts on a Tuesday afternoon with a deadline.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
You own AI surface area end to end: what the system should do, the prompts, the agent design and tool use, the evals that catch regressions before customers do, the monitoring, and the iteration after it's live. You'll sit in customer calls, read the real documents, and look at hundreds of real outputs, because that's where the failure modes actually are. You'll ship to production in your first week.
What we're looking for
We care far more about raw engineering strength than about matching a list of technologies. If you're excellent, we'll hire you whether you've spent the last three years in Rust, Go, Python, TypeScript, C++, or something we haven't heard of. Our stack is learnable in a fortnight. Judgement, speed, and standards are not.
What we're actually screening for
- You've run AI systems in production, not demoed them. Something real users depended on, that broke in ways a benchmark never predicted, and that you fixed.
- You can say why a model failed. Not that it hallucinated. Why, and what you changed.
- You build evals that catch regressions, rather than metrics that flatter the system.
- Speed with taste. You ship fast, and you're opinionated about what AI should not do and when good enough ships.
- You go to the source. You'll read the customer's actual documents, join the actual call, and look at hundreds of real outputs.


Get help with your application
Your very own career expert that helps elevate your application to the next level.
Signals we like, none of them required
- multi-step agents and orchestration you've run in anger
- document intelligence over genuinely messy inputs
- founder or ex-founder
- founding team experience
- EF / YC / Antler
- early or stealth-stage startup
- competitive programming or olympiad background
- open source you genuinely maintain
This is probably not for you if
- You want a strict boundary between work and life. We run one of the most ambitious startup cultures in Europe: fast-paced, extremely high ownership, and in person in Shoreditch.
- You want a well-defined ticket handed to you each morning.
- You want to specialise narrowly and stay in your lane.
What you get
- Real equity, and compensation that reflects a high bar
- Genuine ownership of product surface area from day one, with the founders in the room
- Relocation support and visa sponsorship, handled properly
- Lunch and dinner covered, 24/7 gym access, and any tool that makes you faster
- A small team with high standards, high trust, and no politics
If this sounds like your kind of problem, apply. A short note on the hardest thing you've built goes further with us than a polished CV.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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