Location
In office (Munich)
Seniority
Middle · 4+ years exp
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Dec 11, 2025.
Overview
Company
Impact
Profile match
Zalion is an AI startup that builds AI agents to take over repetitive work in enterprise procurement. Its autonomous agents work with messy data, legacy systems and complex procurement workflows, and it hires platform engineers and full-stack AI engineers. Zalion is headquartered in Munich, Germany.
Zalion is an international AI start-up revolutionizing industrial procurement. We use cutting-edge AI agents to automate manual Source-to-Pay processes, freeing up procurement teams for strategic work.
We are live with the largest companies in Europe & the US.
We love what we do. We get stuff done. We progress fast.
Tasks
- Own and ship agent-powered features end-to-end - from idea and prototype to production rollout and iteration.
- Design, build, and deploy AI agents in production that interact with real systems (ERPs, email, supplier portals) and deliver measurable outcomes.
- Work with both structured and unstructured data (RFQs, emails, quotes, contracts) to power memory, retrieval, and decision-making.
- Build scalable memory, reasoning, and orchestration pipelines using tools like LangChain/LangGraph and evaluation frameworks.
- Integrate with external APIs and legacy systems, dealing with real-world messiness, rate limits, and failure modes.
- Contribute to our cloud infrastructure for scalable agentic workloads (observability, CI/CD, reliability, cost-awareness).
- Solve hard problems around context management, latency, robustness, and guardrails - making agents debuggable and trustworthy, not magic.
Requirements
- Strong Python skills and a track record of writing clean, maintainable, well-tested backend code
- Solid experience designing and building RESTful APIs and data models in production environments
- Experience with data engineering concepts (ETL, data quality, performance) and backend architecture
- Hands-on experience building something real with LLMs (OpenAI, Claude, etc.) - side projects are fine as long as they’re concrete
- Comfort working in the cloud (ideally AWS) with CI/CD, logging, and monitoring
- A builder mindset - you like to ship small, iterate quickly, and own your work end-to-end
- Comfort with ambiguity and ownership: you spot problems, propose solutions, and drive them to completion without waiting for perfect specs
- Roughly 4+ years of professional experience, including at least one role where you owned a production service, subsystem, or major feature.
Benefits
- Build AI agents that actually do things
- Massive autonomy, zero bureaucracy
- Immediate impact, your work ships fast to real customers
- Modern stack, no legacy
- Competitive salary + meaningful equity
- High-end equipment
Tech Stack You’ll Work With
- Python (LangChain, LangGraph, LangSmith, FastAPI)
- AWS (Bedrock, ECS Fargate, Lambda, S3, SQS/SNS)
- Next.js, React, TanStack Query/Router
- GitHub CI/CD , Sentry & Grafana & Prometheus
- Postgres, Redis
- Large Language Models (LLMs) and AI infrastructure (evaluation, tracing, guardrails)
- Whatever the future brings that helps us ship faster and better
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