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For our banking client in Zurich, we are looking for an experienced Senior AI-Native Software Engineer / Coach to drive the transformation of software development through the practical application of AI.

The objective of this project is to fundamentally transform the Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC) by leveraging AI, enabling AI agents to increasingly take over engineering tasks while humans focus on direction, validation and quality assurance.

The ideal candidate combines a strong software engineering background with extensive hands-on experience using AI-powered development tools, coding agents and agentic workflows.

Your r esponsibilities :

• 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

Important: We are not looking for a pure AI application developer or architect, but for an experienced software engineer who actively uses AI agents in daily development work and can fundamentally transform how software is developed.