Coopers Group AG

Senior AI-Native Software Engineer/Coach

Coopers Group AG
Posted 10/21/2026contractRemote • SwitzerlandSeniorWebsite
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Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in generative AI and LLMs, with a strong focus on implementing AI-driven development practices and coaching engineering teams. Proficient in the end-to-end Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC), with a commitment to quality standards and governance in AI applications.

Highest-signal resume keywords
Generative AI ExpertiseAI-Powered Development ToolsCoaching and MentoringProduct Development Lifecycle (PDLC)Software Development Lifecycle (SDLC)

Tech Stack

Tools & technologies
SDLC

About the role

Key responsibilities & impact
  • 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 for the safe and traceable use of autonomous AI agents
  • Work closely with development teams to establish AI-native ways of working
  • Coach and mentor engineers in directing, supervising and validating AI-driven development workflows
  • Design and deliver hands-on training sessions and workshops to strengthen AI engineering capabilities and support adoption of AI-powered development practices

Requirements

What you’ll need
  • 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)
  • 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 (not required)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAI-Driven AutomationPrototypingTestingCode ReviewAgentic WorkflowsStructured Data ExtractionTool and Function CallingDevOpsAI-Native Engineering Practices
Soft Skills
CoachingMentoringCommunicationCollaborationTraining Delivery
Tools & Technologies
GitHub CopilotAI-Powered Development ToolsEnterprise ApplicationsAutomation SolutionsDevelopment Environments
Industry Keywords
AI-Powered DevelopmentQuality StandardsGovernance PracticesHuman Approval GatesSoftware Development Processes