European AI startup · Seed-funded · Deep AI specialist
The company
A fast-growing European AI startup building the platform that helps companies find, assess and win public tenders — public procurement is roughly 10% of EU GDP, and for most companies it's completely opaque.
Seed-funded, with product-market fit in their home market and real commercial traction. Now expanding across Europe. Around 30 people, 14 in engineering, both founders still write code. The product is agentic end to end.
The role
This is a deep AI role, not a broad engineering one. You own every AI flow in the product: extraction from messy real-world documents, semantic search, generation.
The bar is high because of what's at stake — customers make six-figure decisions on what the models extract. "It usually works" isn't a result. You make it accurate, fast and cheap, and the finish line is production, never a write-up.
What makes this seat specific: you're expected to explore the state of the art and bring it into the product. New models, new techniques, new architectures — you evaluate them,



decide what's worth shipping, and ship it. That's the half of the job a general AI engineer doesn't do, and the half a pure researcher never finishes.
What you'll actually do
- Own the AI flows across the product: document extraction, retrieval, agentic workflows, generation
- Build the evaluation harness before scaling anything: golden datasets, regression tests, error taxonomies, LLM-as-judge where it's warranted
- Own the quality / latency / cost trade-off across models and vendors
- Fine-tune when it wins — you'll have the data, the budget and the freedom to decide when a smaller specialised model beats a frontier one
- Decide when not to use an LLM: replacing a probabilistic step with deterministic logic is often the right call, and knowing where that line sits is part of the craft
- Track what's happening in the field and turn it into shipped improvements

What we're looking for
- Deep AI expertise.

📌 Founding AI Engineer (Barcelona)
🏢 Talent-R
📍 Barcelona