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AI Platform Engineer (f/m/d)

Digitec Galaxus AG -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

Temps partiel | Temps de travail : 80-100% | 100%

Qualifications

Informatique
Systèmes d'exploitation
MCP
C#
Anglais
Google Cloud Platform
.NET
Niveau Master
Metadata
Compétences en communication
Python
Allemand

Description complète du poste

Zurich

80% - 100%
Product Development
English

As the top Swiss e-commerce platform, with a crew of over 4'000 across Switzerland, Germany, and Serbia, Galaxus is poised to move into new markets. Our driving force is our determination to keep challenging the status quo. That's why we're on the lookout for characters who're passionate about making genuine improvements. We'll give you the freedom and trust to make an impact, to grow with us and to be yourself. Act galactic. Be you.

As an AI Platform Engineer, you are part of a dedicated AI Enabling Team within our Platform Developer Experience Area. The team's mission is to make AI-assisted engineering a first-class capability at Digitec Galaxus, from the developer platform our engineers build on, to the AI products and agents our teams ship into production. A core part of this is building the knowledge foundation that humans and agents alike rely on: unified search, curated context, and the infrastructure to keep both grounded in our actual systems. You will help shape how our engineers and internal tools use AI safely, efficiently, and with measurable impact.

Your responsibilities

Make AI-assisted engineering and agentic workflows a first-class citizen in our developer platform
Own central AI products (AI Registry, internal MCP Server, AI Chat) critical to company strategy, evolving them from side projects to production-grade services
Partner with platform teams to improve agent experience, and collaborate with the AI Guild to share feedback and best practices
Build guardrails for data privacy, security, and compliance
Create a curated catalog of approved AI tools to prevent shadow AI
Evolve AI infrastructure to enterprise-grade: introduce transparent cost monitoring, and build a flexible AI gateway with self-hosted model support
Establish benchmarks and evaluation frameworks to keep model choices data-driven, and curate internal knowledge for reliable AI agent consumption

Your skills

Higher education in computer science, software engineering, or a related field, with several years of hands-on experience building and operating production systems
Strong software engineering fundamentals in a modern backend stack (e.g. Python, C#/.NET)
Practical experience with modern AI tooling such as LLM APIs, agent frameworks, RAG, prompt and evaluation pipelines
Familiarity with knowledge architecture concepts - semantic search, metadata graphs, retrieval pipelines, documentation tooling
Solid platform and DevOps/MLOps mindset, covering containerization, CI/CD, cloud platforms (GCP / Azure), Infrastructure-as-Code, and observability
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
Strong communication skills and a proactive, ownership-driven mindset, enabling you to collaborate effectively with different stakeholders, and to drive topics forward
Fluent English as mandatory, while German is an advantage
A willingness to challenge «how things have always been done» and propose more efficient, automated or effective solutions
Using creativity and initiative to solve problems and achieve goals

Why start with us?

Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practise and preach.
Courageous thinking: We encourage everyone to think on their feet, and love it when they come up with bold or edgy ideas.
Uncomplicated approach: Simplicity is at our core. We avoid the unnecessary and focus on what really matters – from overcoming challenges to celebrating our shared successes.
Flexibility and freedom: We offer working-from-home options, up to 8 weeks of workation, and every position is possible with an 80% workload.
Rapid growth: With us, growth is a continuous journey. We also support you with 2'000 EDU points per year for your professional development so there’s no risk of you getting stuck in a rut.
Modern: With us you can work with the latest technologies every day, see our Tech-Radar.
More than "just" work: Take part in our various employee events such as Hackathons, hiking, skiing, Böötlen on the Limmat, LAN Parties or Friday Night Drinks and, if you're interested, contribute to our Techblog.
More benefits: 25 days of holiday, exclusive employee conditions in our online shop, mobile, internet and TV plans at company rates and many other benefits.

Diversity is our culture.

To build the best team, we want to draw from the full spectrum of talent out there. This means people from all walks of life have the same opportunities with us, regardless of their ethnicity, religion, disability status, gender identity, sexual orientation or age. We believe true inclusion means everyone is welcome and each contribution is valuable.

Working Language

English

Workload

80% - 100%

Location

Digitec Galaxus AG
Pfingstweidstrasse 60b
CH-8005 Zürich

Soumettre votre candidature

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : mlops engineer

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