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

Wer wir sind

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. 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 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 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. Why start with us? Diversity is our culture.

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

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