Senior AI Engineer

Das ist der Job

Do you want to own problems that matter, ship fast, and build AI systems that millions of people actually use?

Darum lohnt es sich

As a Senior AI Engineer on the Agentic Experience team, you'll work directly with the Co-founder and CTO to rethink how guests and hosts interact with a platform at real scale designing multi-agent systems, handling thousands of live conversations, and pushing the frontier of what's possible with LLMs in production.

The Team You’ll join a small, fast-moving group inside a 200-person Engineering organisation, working on the most strategic parts of the platform's future. The team runs on ownership, ambiguity, and a genuine bias for impact over activity — with direct access to senior leadership and a mandate to move fast.

If you’ve ever wanted to build things that matter without the overhead slowing you down, this is that team.

What they’re Looking For 5+ years of backend development experience, including ownership of systems end-to-end Deep fluency with AI coding tools and a clear sense of where they help and where they don’t A track record of shipping and running production systems Strong fundamentals in systems design, reliability, and production operations A product mindset — asking “what problem are we solving?” before “what should I build?” Comfort with ambiguity; energized by ownership rather than direction Clear communicator in code, documents, and conversation The language matters less than the thinking (they mostly use Kotlin) What They Offer Competitive senior-level package and: Hybrid working with 50% in-office collaboration time Up to 8 weeks per year working from other locations internationally #J-18808-Ljbffr What You'll Do Own Entire Problem Spaces: You won’t be handed tickets.

You’ll be handed challenges — and trusted to figure out what to build and why. Ship at Agentic Speed: Use tools like Claude Code to compound your throughput and take problems from idea to production, often in days.

Build Multi-Agent Systems: Design agents with tool calling, handoffs, and production evals that handle thousands of real conversations across WhatsApp, email, in-product chat, and beyond. Work at the Frontier: Push the boundaries of what’s possible with LLMs in production — no playbooks, no standard processes, just first-principles thinking.

Influence the Roadmap: Push back on what doesn’t make sense. Propose what does. You’ll decide what’s worth building, not just how to build it. Stitch Systems Together: Work across Kotlin/Java, AWS, Kubernetes, PostgreSQL, DynamoDB, Redis, and the Model Context Protocol — introducing the right tool for tomorrow without hesitation.