• Galaxus

AI Platform Engineer (f/m/d)80 – 100%

  • Permanent position
  • Immediately or by agreement
  • Home office option
As an AI Platform Engineer, you are part of the AI Enabling Team within Platform Developer Experience. The team’s mission is to enable AI-assisted engineering at Digitec Galaxus, from developer platforms to production AI tools and agents. You help build a strong knowledge foundation, including unified search and curated context, ensuring safe, efficient, and impactful use of AI.

Key information

We welcome all applications, but can only consider applications submitted online. Applications submitted by post will be disposed of for data protection reasons and will not be returned.

What you move

Main task

Make AI-assisted engineering and agentic workflows a first-class citizen in our developer platform

Main task

Own central AI products (AI Registry, internal MCP Server, AI Chat) critical to company strategy, evolving them from side projects to production-grade services

Main task

Partner with platform teams to improve agent experience, and collaborate with the AI Guild to share feedback and best practices

Main task

Build guardrails for data privacy, security, and compliance

Main task

Create a curated catalog of approved AI tools to prevent shadow AI

Main task

Evolve AI infrastructure to enterprise-grade: introduce transparent cost monitoring, and build a flexible AI gateway with self-hosted model support

Main task

Establish benchmarks and evaluation frameworks to keep model choices data-driven, and curate internal knowledge for reliable AI agent consumption

What you will bring

2-5 years

Software Engineering

Completed degree (university / university of applied science / higher technical college)

English (Advantageous)

Mandatory

Higher education in computer science, software engineering, or a related field, with several years of hands-on experience building and operating production systems

Mandatory

Strong software engineering fundamentals in a modern backend stack (e.g. Python, C#/.NET)

Mandatory

Practical experience with modern AI tooling such as LLM APIs, agent frameworks, RAG, prompt and evaluation pipelines

Mandatory

Familiarity with knowledge architecture concepts - semantic search, metadata graphs, retrieval pipelines, documentation tooling

Mandatory

Solid platform and DevOps/MLOps mindset, covering containerization, CI/CD, cloud platforms (GCP / Azure), Infrastructure-as-Code, and observability

Mandatory

Awareness of data privacy, security, and compliance considerations when working with AI tools and sensitive data, and the pragmatism to balance these with developer velocity

Mandatory

Strong communication skills and a proactive, ownership-driven mindset, enabling you to collaborate effectively with different stakeholders, and to drive topics forward

Mandatory

Fluent English as mandatory, while German is an advantage

Mandatory

A willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions

Mandatory

Using creativity and initiative to solve problems and achieve goals

The benefits we offer

Werte statt blabla

Mutig selbst denken

Unkompliziert

Flexibilität statt verbiegen

Schnelles Wachstum

Weitere Benefits Serbien

Application and contact details

Maja Crljen

Information for recruitment agencies

Only direct applications will be considered for this position.