Description

  • IT - Project Management
  • Zürich
  • Contracting
  • Teilzeit, 80-100%
  • 02.11.2026 - 31.12.2026 with option to extension
  • AI

Your responsibilities:

  • Drive the transition towards an end-to-end AI-powered and increasingly autonomous software development model
  • Design and implement agentic workflows in which AI agents analyse requirements, write and modify code, execute tests and support code reviews
  • Integrate and automate AI-driven solutions within existing enterprise applications and complex development environments
  • Define quality standards, human approval gates and governance practices to ensure the safe and traceable use of autonomous AI agents
  • Work closely with development teams to establish AI-native ways of working, coaching and mentoring engineers in directing, supervising and validating AI-driven development workflows
  • Design and deliver hands-on training sessions and workshops to strengthen AI engineering capabilities, encourage experimentation and support the sustainable adoption of AI-powered development practices

Your profile:

  • Several years of hands-on software engineering experience, including the development, testing and maintenance of enterprise applications
  • Strong practical expertise in generative AI and LLMs, including RAG, structured data extraction, tool and function calling, and agentic workflows
  • Extensive hands-on experience using AI-powered development tools and coding agents, such as GitHub Copilot or comparable solutions, as an integral part of daily engineering work
  • Experience implementing AI-powered automation within existing projects, as well as knowledge of DevOps, testing and modern development practices
  • Solid understanding of the end-to-end Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC), from product discovery and requirements analysis through to architecture, implementation, testing, deployment and maintenance
  • Ability to rapidly build prototypes, experiment with new approaches and challenge traditional software development processes
  • Proven experience in coaching and mentoring software engineers, delivering technical training and enabling teams to adopt new tools, methodologies and AI-native engineering practices
  • Fluent in English, German is a big plus

We are not looking for a:

  • Data scientists or machine learning specialists
  • AI engineers whose primary focus is developing RAG applications, chatbots or LLM-based products
  • Pure AI architects focused mainly on conceptual frameworks and target architectures
  • Transformation consultants without substantial hands-on software engineering experience
  • Traditional software engineers who have only occasionally used AI coding assistants