Schlieren
Senior AI/ML Engineer (m/f/d)
- 07 October 2026
- 100%
- Permanent position
- CHF 110 000 - 117 000 /year
- German (Fluent)
- 8952 Schlieren
About the job
We have developed a web-based online platform for job searching and talent acquisition that digitalises the application process and supports companies in quickly recognising talents in the market and securing them for the long term. With a digital Rocken profile, every applicant can quickly and easily connect with market-leading companies and share their profile.
Our work places people at the centre both technologically and organically. Rocken® offers executive search and talent management consulting to address the personal and individual needs of each person and to implement these optimally in recruitment and career planning.
Senior AI/ML Engineer (m/f/d)
Salary - CHF110,000 - 117,000Our Rocken partner develops customised digital solutions and relies on innovative technologies. With a strong focus on artificial intelligence, cloud architectures, and software development, the company supports clients from various industries into the digital future. The field of activity includes the development of intelligent agents, complex platforms, and scalable applications. Close collaboration with clients is central to creating effective and future-proof solutions. Agile methods and state-of-the-art technology stacks shape the daily work. The company promotes independent working and values professional excellence. Multiple times awarded as an innovative employer, our Rocken partner offers an environment where technical expertise is appreciated and further developed. Are you ready for challenging projects with real impact? Then apply now!
Role:
You build applications based on Large Language Models and bring them into productive use together with the team. This means exciting and innovative GenAI projects with clients await you – from workshops through proof-of-concepts to joint implementation of productive solutions.
Responsibilities:
Conceptualisation 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
Qualifications:
A completed master’s degree in computer science, data science, or a related field
Several years of experience in developing GenAI applications, ideally in productive use for clients
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
Cloud experience in infrastructure as code (IaC), ideally Azure, as well as experience with guardrailing of LLM applications
Understanding of open-weight large language models, including multimodal models
Experience with LLM runtimes as well as LLM proxies or gateways
Confident use of Python and software engineering best practices
Strong communication skills and enjoyment in collaborating with team and clients
Fluent in German and English, both spoken and written
Benefits:
- Flexible working hours
- Free fruit and drinks
- Attractive training and development opportunities
- Open corporate culture
- Family-friendly employment conditions, childcare
- Interesting and varied tasks/projects
ROCKEN Jobs:
https://rocken.jobs
Create profile:
https://rocken.jobs/application/profil-erstellen/
Workplace
Schlieren
Contact
Mohi Heidar,
+41443852122