About the role
About Nexoya
We help marketing teams unlock their growth potential with AI. Our attribution shows how advertising investments perform across channels, and our optimizations shift budgets to where they drive the bottom line. Leading European brands in e-commerce, telco, banking, insurance, energy and more rely on us.
The role
You build and run the Node.js/TypeScript services behind the Nexoya app: the GraphQL API, ad channel integrations and data ingestion, and new LLM- and agent-based features. You join a team of about 10 engineers across backend, ML, frontend and platform, and you own your features from design to production.
How we build software
AI coding agents change how software gets built, but not who is responsible for it.
Decisions are made together. Important technical decisions start as an Architecture Decision Record reviewed by the team. Good arguments win, not seniority.
Engineers design, agents implement. Your design is the input for our coding agents, guided by a shared rule set in our agent harness that the team evolves together.
Working is not done. Code is ready when it is maintainable: readable, tested, robust on unhappy paths. Larger changes are reviewed, so at least two engineers know every change.
You build it, you run it. A rotating internal support duty shows us which decisions worked.
What you will do
Ship backend features end to end on our Kubernetes-based Azure cloud.
Evolve our GraphQL API with clear schemas and stable contracts.
Build reliable ad channel integrations and data ingestion with MySQL and RabbitMQ.
Build AI features such as our in-app assistant (tool calling, retrieval, structured outputs), with evaluation, monitoring and guardrails.
Help evolve our agent harness and raise the bar for tests, reviews and documentation.
What you bring
[3+] years as a Backend Engineer with Node.js and TypeScript.
Solid API design (GraphQL or REST) and MySQL experience.
Experience with message brokers and running services on Docker, Kubernetes and a major cloud (Azure preferred).
You enjoy discussing design trade-offs in writing and care about code others can maintain.
Fluent English.
Bonus: ad platform APIs (Google Ads, Meta) or attribution; AI or agent features in production (Anthropic/OpenAI APIs, MCP, RAG); LLM evaluation or observability; team use of Claude Code or similar; data pipelines; German.
What we offer
Direct impact on how enterprise marketers allocate their budgets.
Real ownership in a team that takes engineering quality seriously.
A genuine AI-first culture: experiment, automate, share.
A transparent culture at eye level, with regular team events.
Strategy Days twice a year where the whole team shapes company strategy (past: Helsinki, Berlin, Belgrade, Swiss Alps, Zurich).
Application process
Profile review and phone screen
Take-home assignment: a backend feature
Technical discussion with the engineering team
[On-site] interview and team evaluation
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