Munich HQ (hybrid) | Full-time | Experienced Hires
<aside>
💡
Zalion is on a mission to create the operating system for autonomous procurement. We are moving beyond "Chat with PDF" to build agentic AI that operates deep within the enterprise, negotiating via email, navigating legacy ERPs, and managing complex Source to Pay workflows to deliver real impact.
Join us early and help define how enterprise AI is done right.
</aside>
🪛 How we operate
- You’ll work closely with the founders and early customers to understand real procurement workflows and turn them into robust, AI-native product experiences.
- We are fostering the use of agentic coding, reviewing support, security checks etc. and expect you to shape the responsible use of it within the engineering organization.
- We are straight shooters. Clear, respectful and proactive communication is the key driver in our culture.
🚀 What You’ll be responsible for
You will:
- Own and ship backend features end-to-end - from API design and domain/data models to production rollout, monitoring, and continuous improvement.
- Develop agent-facing backend capabilities: orchestration primitives, tool execution, permissions, safe data access, and observability - so agents behave predictably in production.
- Build and evolve scalable backend services in Python focusing on maintainability, performance, and operational robustness.
- Work with asynchronous and distributed systems (queues, retries, idempotency, rate limiting, backpressure) to make workflows resilient.
- Design and operate reliable integrations with enterprise systems (ERP, email, supplier systems) using APIs, and event-driven patterns where applicable.
- Build systems that handle messy real-world procurement data (RFQs, emails, quotes, contracts) with strong validation, traceability, and auditability.
- Raise engineering standards: testing strategy, code quality, architecture decisions, reliability practices, and incident learnings.
- Collaborate directly with founders, PM, and customers to understand procurement workflows and turn them into scalable product behavior.
🛠️ Tech Stack You’ll Work With
Our current stack (and where we’re pragmatic):