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# Senior Product Engineer (Backend Leaning)

- **Company:** Xcede
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Audit Trail, C Sharp (Programming Language), Github, Python (Programming Language), PostgreSQL, OpenAI, Next.js, TypeScript, ReactJS, Large Language Models, Spring-boot, AI Coding Agents, Backend, Agentic-AI, Kotlin, Event Driven Architecture, Google Gemini, Terraform, Golang
- **Published:** October 18, 2026
- **Apply:** https://www.xing.com/jobs/berlin-senior-product-engineer-backend-leaning-158595697

## About the Role

* 5+ years building and running production software with real users and real consequences.
 * Strong backend skills at production scale in Java or a comparable language (Kotlin, C#, Go) - willingness to work in Java/Spring Boot specifically.
 * Experience designing distributed, event-driven systems with a focus on data correctness and failure modes.
 * Solid PostgreSQL and hands-on AWS experience.
 * Full-stack delivery capability - your depth is backend, but you can ship a good interface in TypeScript/React when the problem needs it.
 * Strong product sense - you ask why before how, talk to users, and turn vague problems into clear plans.
 * Comfort in a fast-growing, fast-changing environment.
 * A track record of solving business problems, not just technical ones.
 * Curiosity and good engineering judgment about LLMs/agents is a must; hands-on experience building with them is a strong plus.
 * Bonus: experience in trading, marketplaces, supply chain, fintech, or another domain where data errors cost real money.

Practical details

Berlin, hybrid. English-speaking environment. Learning/development budget included.

## Description

Much of this company's trade execution runs through AI agents - and agents are only as good as the product around them: reliable data, well-designed APIs, and interfaces where the team can review, correct, and approve what an agent proposes before real money and real shipments move. As a Senior Product Engineer, you'll own business problems end to end - talking to the people who use what you build, deciding with Product what to solve, and shipping the whole slice: data model, services, AI agents, and UI. You'll work in a domain where prices and stock change daily, supplier data arrives in every format imaginable, and a wrong number costs real money.

What you'll do

 * Own a business problem from first conversation through production - e.g. making supplier pricing reliable from ingestion all the way to the quote a salesperson sends.
 * Build backend services for pricing, inventory, orders, and integrations across suppliers, customers, and logistics partners.
 * Build the AI agents themselves plus their tools and APIs, with safeguards - idempotency, validation, audit trails, human review where it matters.
 * Design the interfaces where commercial teams review, correct, and approve agent proposals.
 * Turn messy external data (price lists, datasheets, stock feeds) into data the business can trust.
 * Evaluate and monitor LLM-driven workflows in production.
 * Lead technical decisions, document trade-offs, and mentor other engineers.
 * Help shape hiring - run interviews, help define what good engineering looks like.

Tech stack

Java 21 / Spring Boot 3, Python, LangGraph and LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS + Terraform, GitHub Actions, TypeScript / Node.js / Next.js / React. You don't need all of it on day one - the team leans heavily on AI coding tools and expects you to pick up whatever a given problem needs.