Seamflow
Applied AI Engineer
1mo ago
Europellmpythonevalsmachine learningdocument intelligence
Build and deploy LLM-powered AI features that solve real-world workflows reliably in production.
About the company
- We're looking for an Applied AI Engineer who thinks in user workflows and model behavior, 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 Behavior — 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
Responsibilities
- 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 While software moves fast, industries like aerospace, healthcare, and energy are still slowed by outdated, manual systems.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 on track to raise our Series A, 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.
- 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
Requirements
- 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
- 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
Conditions
- 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
Other
- 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