Backend Engineer (Node.js / TypeScript)

Our common vision

Our mission is to help marketing teams unlock their full growth potential with AI. Our AI-powered attribution creates real transparency, showing how digital advertising investments perform across channels. On that foundation, we optimize budgets so our customers can sustainably grow their bottom line. We support leading European brands across e-commerce, telco, banking, insurance & energy, and many other industries in making their marketing smarter, more efficient, and more impactful.

About the role

The Nexoya app connects to many ad channels, ingests daily performance data and serves AI-driven attribution, budget optimizations and simulations to enterprise marketing teams. As our Backend Engineer, you build and run the Node.js/TypeScript services behind it: the GraphQL API, the data ingestion and integrations, and the new LLM- and agent-based features inside the product. You work in a cross-functional team of about 10 engineers across backend, ML, frontend and platform, and you own your features from design to production.

Your responsibilities

Build and evolve the platform

• Design, build and ship backend features end to end, from technical architecture to deployment on our Kubernetes-based cloud.
• Develop and maintain our GraphQL API (Apollo) in Node.js and TypeScript, with clear schemas and stable contracts for the frontend.
• Build reliable integrations and data ingestion for ad channels and customer data sources, using MySQL and message queues (RabbitMQ).

Bring AI into the product

• Build LLM- and agent-based features, such as our in-app assistant, including tool calling, retrieval and structured outputs.
• Help set up evaluation, monitoring and guardrails, so AI features are correct, explainable and safe for enterprise customers.
• Use AI coding agents in your daily work and help the team adopt them in a responsible way.

Own quality and operations

• Own your components in production, including monitoring, alerting and bug fixing.
• Set the standard for meaningful test automation, code reviews and documentation.
• Work closely with ML (Python), Frontend (React) and Customer Success to keep the architecture future-proof.

The impact you will have

• New features reach customers faster, because you ship them end to end with tests and monitoring in place.
• AI features in the Nexoya app give enterprise marketers answers they can trust.
• Our backend scales with more customers, channels and data without more manual work.

Your experience and skills

• [3+] years of professional experience as a Backend Engineer with Node.js and TypeScript.
• Solid experience with API design (GraphQL or REST) and relational databases such as MySQL.
• Experience with asynchronous processing, for example message brokers such as RabbitMQ.
• Experience running services in production with Docker, Kubernetes and a major cloud provider (Azure preferred).
• A pragmatic, structured way of working: you test what you build and you document your decisions.
• Fluent English, spoken and written, is a must.

Bonus points

• Proven experience building AI or agent features in production, for example with the Anthropic or OpenAI APIs, tool calling, MCP, RAG or agent frameworks.
• Experience with LLM evaluation, prompt testing or observability (for example Datadog LLM Observability).
• Hands-on use of AI coding agents such as Claude Code in a team setting.
• Familiarity with digital advertising platforms and their APIs (Google Ads, Meta, and others), attribution or marketing metrics.
• Experience with data pipelines or workflow orchestration.
• Fluent in German or Italian.

Your future work life

• Purpose: Your work directly influences how enterprise marketers allocate their budgets.
• Ownership: You own features and components end to end, with a personal development roadmap and regular feedback.
• AI at the core: You build AI features for customers and work with modern AI tooling every day.
• Culture: A transparent company culture at eye level, where every person is valued and supported.
• Strategy: You take part in shaping company strategy and culture during our quarterly Strategy Days.
• Events: Regular team events, on-site and off-site.

Application process

1. Profile review and short phone screen
2. Take-home assignment on a backend feature with an AI component
3. Technical discussion of the assignment with the engineering team
4. [On-site] interview and team evaluation

Offer