Arqiva
GoOpti B.V.
Help 350,000 travellers a year move across Europe
Location: Remote (CET) with two days on-site or Ljubljana, Slovenia · Full-time
Reports to: CEO, working daily with the dev team and CTO · Start February 2027
Salary: €75,000 - 100,000 gross per year + bonus and equity (TBC)
If you want to build an AI-native company for real - with production systems, real customers and real money on the line - we'd love to hear from you.
Apply now with your CV and a short note on one (biggest) LLM system you shipped to production: what broke, and what you changed.
GoOpti is a door-to-door shared-transfer marketplace connecting cities and airports across Europe. Behind every booking sits real-time search, dynamic pricing, vehicle occupancy optimisation, franchise and partner settlement, and customer care in several languages and countries.
We have decided to become an AI-native company. Not a chatbot bolted onto the website - a business where agents do real work in every department, safely, measurably, and connected to the systems that actually run the company.
We are looking for the person who designs that foundation and ships the first agents on top of it. You will be our first senior AI hire, with a direct line to the CEO and CTO and an open mandate to shape how we do this.
You will do two things at once:
Bring together bookings, prices, trips and franchise results from our data warehouse with our business rules (fares, refunds, franchise terms) and our working knowledge - MS Teams, email, customer-care conversations, complaints, Git - into one machine-readable knowledge layer that agents can query, that flags contradictions and keeps itself up to date.
When an agent fails, a supervisor agent diagnoses why, drafts the code fix or policy change, tests it in a sandbox and opens a merge request for a person to approve. Own the model and token budget, choose models per task, run evaluations, and report cost per booking.
Run a weekly intake of problems from department heads — at most two builds per department at once, each with an owner, a measure and a go/no-go gate. Lead one or two contract AI developers, work alongside our backend team, and teach managers how to write a good spec for an agent.
How we'll measure it: hours freed per week · share of customer conversations resolved without a person · revenue per employee · token cost per booking · fixes merged from loops. Targets are set together from the baselines.
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