Wave Group
AI Engineer (TypeScript)
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💻 Job Title: AI Engineer (TypeScript) 💰 Salary: up to ~€200k / £175k (open to much less senior candidates as well) 📈 Equity: ~€120k 🌍 Location: fully remote anywhere in Europe (proximity to Germany preferred) 🔐 Company: AI Agents for Construction 👥 Employees: 100+ 💸 Funding: €45m+ (Series B)
About the company A fast-growing B2B SaaS business that is digitising a historically very manual, paper-heavy industry - think complex workflows, large document volumes and a genuine data moat built over several years of customer relationships.
Their AI team owns everything end to end: from model development and agent infrastructure through to the Python services and TypeScript front end that customers actually use. They move fast and have a strong backing to keep investing in AI as a core differentiator.
About the role This is a brand new role specification for the business - there is no blueprint in the team for this profile, so you'll have a tonne of autonomy and ownership to shape things from the ground up. You'd be the go-to person bridging deep AI engineering with full-stack product delivery, and the person who raises the bar on TypeScript across the team.
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What you'll work on: Build and improve agentic systems that orchestrate multi-step reasoning across complex, document-heavy workflows Own features end to end - from model or agent logic through backend service and API to the React/TypeScript front end Iterate on ranking, retrieval, and matching systems that sit at the core of the product Design and run offline evals and online A/B tests to drive metrics-led iteration Maintain and monitor production ML and AI systems on AWS and GCP Introduce TypeScript best practices and help upskill the broader AI team
✅ Must have requirements: Very strong Python - clean, well-structured, scalable production code, not just scripts Strong Typescript - you've shipped real features into a web app front to back Deep, hands-on experience building and deploying LLM/agent systems: RAG, tool use, multi-step reasoning, evals End-to-end product delivery - you've taken things from research code to real users, not just handed off models Strong backend fundamentals: API design, data pipelines, services Product mindset - you shape what gets built, not just how
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👍 Bonus points for: German speaker (the product data is in German - useful day-to-day) Background in search, ranking, recommendation or price prediction systems Classical ML foundations alongside LLM/agent work Experience with GCP or AWS ML infrastructure Startup or high-ownership product environment in your recent history
🛂 VISA sponsorship is NOT available. You need to have the right to work in your country of residence.
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