AI Engineer (TypeScript)

💻 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.

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

👍 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.