Senior Software Engineer - AI Platform & Knowledge Systems (f/m/d) — Galaxus
- Location
- Zürich
- Contract
- full-time
- Posted
- 4 days ago
Role overview
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.
- 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.
- 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 through a knowledge graph, semantic data layer, MCP access, and unified search.
- 3 years: Software Engineering
- 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
Main 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 through a knowledge graph, semantic data layer, MCP access, and unified search.
- 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
Key requirements
- 3 years: Software Engineering
- 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
- English is mandatory, while the German is an advantage
- Strong product judgement and clear communication with engineers, analysts and nontechnical stakeholders
- The capacity to adapt to ongoing changes in the work environment
- Building trust through consistent and reliable actions
- Completed degree (university / university of applied science / higher technical college) English (Business fluent)
What the company offers
- Completed degree (university / university of applied science / higher technical college) English (Business fluent) Cosa offriamo
Application process
- 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
Additional details
- Completed degree (university / university of applied science / higher technical college) English (Business fluent)
Notes and original content
- Completed degree (university / university of applied science / higher technical college)
- English (Business fluent)
- Cosa offriamo
Questions about this listing
What salary does Galaxus offer for this role?
Galaxus lists CHF 121'500 - 206'500 gross per year for this position in Zürich. This is the salary published in the original listing (or, when the employer omits a figure, a realistic estimate for the role and sector) — the calculator on this site converts it to your actual net take-home once cross-border tax and social contributions are applied.
Is this a full-time role, and what type of contract does Galaxus offer?
This listing is a full-time position. The contract type shown here comes directly from the employer's original posting; always confirm exact hours, notice period and probation length with Galaxus during the application process, since these details can vary by role even within the same contract category.
Do I need a cross-border work permit for a role in Zürich?
EU/EFTA residents living in the border zone of the country adjoining Canton Zürich can apply for a G permit; the Swiss employer files it with that canton's migration office after the contract is signed. Border-zone rules and processing times vary by neighbouring country and canton, so confirm the specifics with Zürich's cantonal migration office or with HR during the application.
How do I apply for this position at Galaxus?
Use the "Apply now" button on this page — it links directly to Galaxus's original listing at jobs.migros.ch, so your application goes straight to the employer's own applicant-tracking system. Frontaliere Ticino does not collect or forward applications itself.
