Your Responsibilities
- Exciting and innovative GenAI projects for our clients: from creative workshops and Proof-of-Concepts to the joint implementation of productive solutions
- Conception and implementation of LLM-based applications
- Design and implementation of Retrieval-Augmented-Generation (RAG) systems
- Implementation of Structured Information Extraction from unstructured documents
- Design and realization 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 to the bidding phase and help shape offers technically.
- 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 GenAI field, as well as insights into the various industries of our clients.
- Variety and exciting collaboration in internal project teams and on-site with our clients.
Your Qualifications
- Several years of experience in developing GenAI applications, ideally in productive use for clients or own products
- A completed Bachelor's degree in Computer Science, Data Science, or a related field
- Proven expertise in the implementation and operation of Retrieval-Augmented-Generation (RAG) systems
- 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
- Proficient in Python and Software Engineering best practices
- Strong communication skills and enjoyment of collaboration with the team and clients
- Fluent German and English in spoken and written form
- Advantageous: Cloud experience in Infrastructure as Code (IaC), ideally Azure, as well as experience with guardrailing of LLM applications
Why us
Swiss Employer Award, Best of Swiss Apps, or Digital Economy Award. Our workplace culture and our projects win awards. For our clients from banking, retail, or governance, we develop user-centric digitalization solutions. Off the beaten path, you can try out new things with us and really let off steam. Here you'll find everything your techie heart desires: in a dynamic and collegial environment, you'll drive your innovative ideas forward – always with the help of the latest technologies, of course. 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 time off. And with our ti&m academy, you decide where and how you want to further your education.
