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# Backend Engineer

- **Company:** CodeGuild
- **Location:** Amsterdam, Netherlands (Remote available)
- **Experience:** Expert
- **Salary:** €7,083.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Software Engineering, Enterprise Software Applications, Multi-Agent Systems, Backend, Kotlin, Kubernetes, Apache Kafka, Docker, Golang
- **Published:** August 24, 2026
- **Apply:** https://www.codeguild.nl/en/software-developer-jobs-netherlands/senior-backend-engineer-amsterdam-1035767#apply

## About the Role

* At least 7 years of experience as a software engineer or backend engineer
 * Strong experience with, Kotlin Java, Go or other modern backend languages
 * Interest in GenAI systems and already experimenting with them yourself
 * Affinity with AI orchestration, RAG systems or observability
 * Experience with Kafka, Docker, AWS/GCP or modern platform infrastructure
 * You take ownership, communicate strongly and are willing to challenge the status quo

## Description

* Do you want to work on modern backend platforms where AI is not about hype or simple wrappers, but about scalable architectures, event-driven systems, orchestration and production-grade software engineering?
 * Do you want to be part of a group of engineers where knowledge sharing, craftsmanship and continuous growth are central, surrounded by colleagues who speak at conferences, contribute to open source and constantly explore the latest developments in software engineering and AI?
 * And do you say yes to a permanent contract from day one, a €5.000 training budget, bi-weekly knowledge-sharing sessions with peers, 3/4 days remote work and an environment where engineering depth truly matters?

Sounds like something for you?Then keep reading., As a Senior Backend Engineer Amsterdam, you help organisations bring modern backend platforms and GenAI systems into production. You build scalable backend services and platform components around foundation models and LLMs, focusing on orchestration, integrations, APIs, event flows and reliability, not on training models themselves.

You work on software architectures where AI capabilities become part of existing software ecosystems. Think backend platforms with RAG pipelines, enterprise integrations, observability tooling and multi-agent orchestration within complex production environments.

Projects are long-term. You remain involved after systems go live and help scale, improve and operationalise them further. This is not about demos or hype, but about serious backend engineering within AI-native platforms.


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