3 annunci per il ruolo di python developer - switzerland (recruiting in corso)

Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d)
Digitec Galaxus AG —Zurigo, ZH
- Part-time
- Inglese
- Master
- Capacità di comunicazione
2 giorni
Image Processing Engineer
Sicpa —Prilly, VD
- Inglese
- Master
- Competenze analitiche
1 giorno
Software Engineering, Site Reliability Engineering BS/MS Intern, 2027
Google —Zurigo, ZH
- CHF 53’000 - CHF 560’000 all'anno
- 100%
- Inglese
- Ricerca
- Java
19 ore

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Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d)

Digitec Galaxus AG -
Zurigo, ZH

Candidati adesso

Dettagli della posizione

Part-time | Orario di lavoro: 80-100% | 100%
2 giorni fa

Qualifiche

Sistema operativo
MCP
C#
Inglese
.NET
Master
Capacità di comunicazione
Graph databases
Python
Tedesco

Descrizione completa della posizione

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.

Capable models are only one part of a useful AI system. The harder challenge is enabling agents to find the right internal knowledge, use company systems safely, and produce results that remain reliable as models, data and workflows change. As a Senior Software Engineer in our AI Enabling Team, you will tackle these problems with real operational data and real users: taking broad ownership of Galaxus Intelligence, our Agentic BI Tool, while building the shared retrieval, tool-access and evaluation platform for AI products across Digitec Galaxus.

Your responsibilities

Define and build the developer experience for AI-assisted engineering and AI-powered products, so teams can move from an idea to production without rebuilding model access, tool integration, evaluation and observability for every use case
Build the shared knowledge and tool-access layer that helps people and agents find authoritative internal information: this includes establishing a knowledge graph for curated, factual knowledge, integrating a semantic layer into the data platform, and combining MCP-based access with unified search and retrieval
Take broad technical ownership of Galaxus Intelligence and solve the hard parts of dependable self-service analytics: finding the right data, generating and validating queries, and making answers traceable to their sources
Own and evolve the LLM-access and observability layer used across Digitec Galaxus, balancing capability, reliability, latency, data protection and cost across hosted and self-hosted models
Create benchmarks, production evaluations and feedback loops that expose regressions and make the quality, usefulness and operational performance of AI systems measurable

Your skills

Higher education in computer science, software engineering or a related field, or equivalent practical experience, combined with at least 3 years of experience building and operating production systems
Strong software engineering fundamentals, with depth in at least one language such as Python, C#/.NET or TypeScript
Hands on experience with LLM applications, agents, tool use, retrieval or evaluation is a strong advantage. Deep expertise in search, data platforms, developer tooling or distributed systems is an equally relevant foundation
English is mandatory, while the German is an advantage
Proven ability to take an ambiguous problem from its first rough definition to a system running in production, including the judgement to decide what not to build
Strong product judgement and clear communication with engineers, analysts and nontechnical stakeholders
An entrepreneurial mindset, a habit of questioning established approaches and the courage to make decisions before every detail is known
The capacity to adapt to ongoing changes in the work environment
Building trust through consistent and reliable actions

Why start with us?

Values, not empty words: Cooperative, innovative, piratesque, responsible, ambitious – these five values are what we practice 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 Techblock.
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

Candidati adesso

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python developer offerte - switzerland

Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d)

Image Processing Engineer

Software Engineering, Site Reliability Engineering BS/MS Intern, 2027

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