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Please note that the position is only available to applicants from Germany.
The language requirements for this position are: English - Fluent.

Delvo builds the next generation of procurement intelligence agents, helping enterprise procurement teams make faster, smarter decisions with real-time supplier insights, price benchmarking, and negotiation strategy. Our vision is to become the decision infrastructure for strategic procurement — an agentic layer that continuously improves with every negotiation and data point. As a Founding Engineer, you’ll work closely with the CTO to build agent orchestration, evaluation loops, and data pipelines, and ship a product that integrates directly into client ERP workflows. You’ll own key architectural decisions across the full stack (Next.js/TypeScript + Python) with high autonomy, meaningful equity, and visible impact from day one.

Activities

As a core member of the founding engineering team, working closely with the CTO, you will:

• Design and build agent orchestration systems - coordinating multiple AI/LLM agents, managing dependencies, ensuring robustness with incomplete or noisy data
• Collaborate directly with clients - rapid iteration and adjustment based on live feedback from the people using our product
• Explore cutting-edge AI/LLM techniques - context engineering, retrieval augmentation, embeddings, fine-tuning, reasoning chains
• Own architectural decisions - stack, infrastructure, deployment, scalability, performance, security, and compliance
• Build evaluation loops for autonomous behavior - monitoring, measuring, and improving quality, safety, and performance of AI agents
• Implement real-time supplier data pipelines - ingesting and normalizing financial, market, risk, and performance data to enable fast, actionable insights
• Integrate with client ERP systems - ensuring smooth, reliable connections to core enterprise workflows so our product delivers impact where decisions actually happen

Requirements

• Strong full-stack foundation: front-end + back-end. You know how to make great UX / clean UI and solid server side / data logic
• Proficiency in TypeScript (including frameworks like Next.js) and in Python (preferably FastAPI or similar). You know what trade-offs look like across the stack
• Experience with UI state/data fetching tools: Tanstack Query, Tailwind CSS, and deployment/hosting workflows and monitoring (Vercel, Fly.io)
• Hands-on experience building AI applications: you’ve worked with LLMs, embeddings, retrieval; you understand inference, latency, cost trade-offs
• Experience building or orchestrating agents or autonomous components: agent frameworks, evaluation and monitoring of agent behavior, quality metrics, safety
• Bonus (would be a strong plus): experience with procurement or ERP systems; supplier/market data, or negotiation intelligence

Team

We’re a small, senior team of ex-McKinsey and PwC builders with deep hands-on experience in both procurement and tech startups. We’ve worked on high-stakes category decisions, supplier negotiations, and complex enterprise environments - and we know what it takes to turn that reality into a product that actually gets adopted. No layers, no politics: just smart people who move fast, challenge each other, and ship. If you like ownership, direct customer access, and building something ambitious with real-world impact, you’ll feel at home here.

Application Process

• 30-min intro calls with 2–3 founders (mutual fit, role scope, Q&A)
• On-site co-working day at our office: build together, have lunch, and get to know each other personally
• Fast decision right after (no long waiting loops)

About the Company

Delvo is building the next generation of procurement intelligence agents. We help procurement teams and category managers make faster, smarter decisions through deep supplier insights, precise price benchmarking, and tailored negotiation strategies.

We’re already delivering measurable savings and are trusted by enterprise clients. With strong traction and a complex technical roadmap ahead, this is a rare chance to shape reliable foundations and push into new frontiers - AI agents, real-time supplier data reasoning, and agent evaluation at scale.