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About the Role
An early-stage AI-native procurement SaaS startup based in Berlin is looking for a Founding Engineer to join its founding product team. You'll help build an AI-first platform that connects procurement and category managers to real-time supplier data and enterprise systems. This is a high-ownership, high-impact role: you'll shape the product, the architecture, and the engineering culture from the ground up — shipping daily and iterating directly with customers.
Responsibilities
- Own core product areas end-to-end, from AI agent orchestration to the interfaces that category managers use daily.
- Design reliable LLM workflows with evaluation loops, guardrails, and observability that hold up in production.
- Build real-time supplier data pipelines, normalization layers, and integrations with enterprise ERP systems.
- Ship to production continuously and collaborate directly with customers to iterate based on real feedback.
- Make architectural decisions across the full stack, balancing performance, security, and developer experience.
- Define engineering culture, tooling, and processes as the team grows.
- Contribute to the product roadmap and work closely with founders on major technical decisions.
- Mentor teammates and grow into an engineering leadership path as the company scales.
Requirements
- Strong full-stack foundation with attention to both interfaces and back-ends, and the seam between them.
- Hands-on experience building SaaS products end-to-end in a startup environment.
- Hands-on experience with LLMs, retrieval, and embeddings, including trade-off reasoning around latency, cost, and quality.
- Proven ability to design and operate production-grade AI/ML workflows with monitoring and safety guardrails.
- Experience building data pipelines, normalization, and integrations with enterprise systems.
- Domain knowledge in ERP, procurement, or related enterprise software.
- Strong written and verbal communication skills; comfortable working directly with customers and cross-functional teams.
- Ownership mindset — thrives in ambiguity, defines what to build as well as how to build it, and defaults to shipping and learning fast.
- Specific experience in procurement technology or supply chain platforms.
- Background in founding-team or seed-stage environments.
Skills
- TypeScript (front-end and back-end)
- Python
- Next.js
- Modern APIs
- LLMs
- Retrieval
- Embeddings
- AI/ML workflows
- Data pipelines
- Normalization
- Integrations with enterprise systems
- ERP
- Procurement
- Enterprise software
Location
- Berlin, Germany
Work Type
- On-site
- Full-time
Experience Level
- Founding Engineer
- Startup environment
- Seed-stage environments
About the Company
- Early-stage AI-native procurement SaaS startup based in Berlin.