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# Full Stack AI Engineer

- **Company:** Zalion
- **Location:** München, Germany
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Github, Python (Programming Language), PostgreSQL, Software Architecture, Redis, Prometheus, Next.js, Unstructured Data, AI Infrastructure, Data Logging, Network Routers, ReactJS, Large Language Models, Grafana, Backend, Fastapi, Sentry, AWS Fargate, Functional Programming, Restful APIs, Amazon Simple Queue Service (SQS), Legacy Systems, Web Api
- **Published:** July 19, 2026
- **Apply:** https://www.adzuna.de/details/5804554470

## About the Role

* 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.

## Description

* 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., * 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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