AI Engineer

About the job

AI Engineer

What to expect

• Exciting and innovative GenAI projects for our clients: from creative workshops to proof-of-concepts to joint implementation of productive solutions
• Design and implementation of LLM-based applications
• Design and implementation of retrieval-augmented generation systems (RAG)
• Implementation of structured information extraction from unstructured documents
• Design and realisation of agentic systems and AI workflows
• Prompt and context engineering for targeted control of LLM-based solutions
• Careful evaluation of your solutions according to the principle of evaluation driven development (EDD), including observability via AI evaluation and observability platforms
• You also contribute your expertise during the proposal phase and help shape offers professionally
• Optional touchpoints with classic software engineering and MLOps: where it makes sense, you work closely with our software and ML engineers
• Continuous learning and ongoing training in the field of GenAI as well as insights into the various industries of our clients
• Variety and exciting collaboration in internal project teams as well as on site with our clients

What you bring

• Several years of experience in developing GenAI applications, ideally in productive use for clients or own products
• A completed master’s degree in computer science, data science or a related field
• Proven expertise in implementing and operating retrieval-augmented generation systems (RAG)
• Experience with agentic systems and AI workflows as well as the Model Context Protocol (MCP)
• Careful handling of the evaluation of LLM solutions, familiar with evaluation driven development (EDD) and AI evaluation and observability platforms (AEOPs)
• Familiar with modern vector databases, e.g. Qdrant, as well as embedding and re-ranking models
• Understanding of open-weight large language models, including multimodal models
• Experience with LLM runtimes as well as LLM proxies or gateways
• Confident handling of Python and software engineering best practices
• Strong communication skills and enjoyment of collaboration with team and clients
• Fluent German and English, spoken and written
• Advantageous: cloud experience in infrastructure as code (IaC), ideally Azure, as well as experience with guardrailing of LLM applications

We are looking for you – become part of our team

You will expand our ML&AI team at ti&m, a broadly positioned group of experts who develop innovative solutions together. For a wide range of companies, we implement exciting projects, often from scratch, where we contribute our expertise from the outset. In this role, generative AI is central: you build applications based on large language models and bring them into productive use together with the team. We are looking for you: with passion and dedication, you build first-class GenAI solutions and fit well with us both professionally and personally. You can expect a collegial atmosphere and a workplace culture where skill comes before hierarchy.

Why us

Swiss Employer Award, Best of Swiss Apps or Digital Economy Award. Our workplace culture and our projects win prizes. For our clients from banking, retail or governance, we develop user-centred digitalisation solutions. Away from prescribed paths, you can try new things with us and really let yourself go. Here you will find everything your techie heart desires: in a dynamic and collegial environment, you drive your innovative ideas forward – of course always using the latest technologies. Speaking of workplace culture: we not only demand agility in our projects but also promote it for our employees. With ti&m liquid working, we offer easily adaptable working time models and the possibility to take breaks. And with our ti&m academy, you decide where and how you want to continue your education.

Philipp Klein

Questions about your application? Our HR team will be happy to help you.

career@ti8m.ch