Founding AI Engineer

Timper; Brussel Hoofdstad; Hybride; EUR 70 000 - 110 000; Plein temps

Résumé du poste

Timper in Belgium is seeking engineers to help decide what gets built in the real world. You'll own real systems, solve problems with no existing playbook, speak with users, and ship constantly alongside the founders, with no layers or middle management.

You'll build product across frontend, backend, data, and AI systems. Design and ship features end-to-end from idea to production in days, work with messy data like PDFs and GIS layers, and continually improve performance, reliability, and

Description du poste

At Timper, engineers help decide what gets built in the real world.

We're on a mission to help build what the world needs. We're building the AI operating partner for real estate development: software and agents that help developers understand what can be built, where, why, and how to get it approved faster. This means transforming regulations, permits, zoning plans, local sentiments, geospatial layers, public inquiries, and decades of fragmented documents into a system AI can reason over reliably.

Our founders combine real estate expansion, regulatory expertise, and frontier AI engineering experience from Tesla, Deloitte Real Estate, Cleary Gottlieb, Greenomy (exited), Harvard, and McKinsey. We're backed by Seedcamp, Kima Ventures, TinyVC, and angels from ElevenLabs, real estate executives and unicorn repeat founders.

You'll work directly with the founders. No layers. No middle management. You'll own real systems, solve problems with no existing playbook, speak with users, and ship constantly. We hire for raw intelligence, velocity, and hunger to build.

• Build product across frontend, backend, data, and AI systems
• Design and ship features end-to-end, from first idea to production; in days, not months
• Work with messy real-world data: PDFs, GIS layers, regulations, scraped sources, APIs
• Improve system performance, reliability, security, and developer experience
• Talk to users often and turn pain points into shipped product fast
• Help shape engineering culture, standards, and how we build this company from the ground up

What the stack looks like

• TypeScript, React, Next.js
• Python for data and AI workloads
• Edge Functions, authentication, and object storage
• LLM systems, retrieval, structured extraction, evaluation
• A fast-moving stack that keeps evolving as we scale
• Rare chance to deploy AI to a real, complex and under-digitized vertical
• Work on hard data and LLM alignment problems with real-world consequences
• Ship your first feature on day 1
• Learn across product, engineering, data, and company-building
• Work directly with experienced founders who move fast