AI Software Engineer (w/m/d) 80-100%

We are looking for a pragmatic, solution-oriented AI Software Engineer who implements strategic business projects into production-ready Agentic-AI solutions in dynamic, interdisciplinary teams. You think from the business problem perspective and combine solid software engineering with autonomous AI architectures and Recursive Self-Improvement (RSI) to deliver reliable, operational software with tangible added value.

Living versatility

Your area of responsibility ##

• Take End-to-End Engineering Ownership in focused, interdisciplinary projects: from requirement clarification and architecture to testable, deployable and operations-ready production services (incl. observability, SLOs and runbooks)
• Design and orchestrate stateful multi-agent workflows, tool integrations (MCP, A2A, Enterprise APIs), hybrid retrieval/memory pipelines, and Recursive-Self-Improvement-(RSI)-loops with reliable guardrails
• Work directly with business stakeholders, domain experts, architects and engineers to understand the actual business problems at their core, translate them into pragmatic solutions and continuously develop them using automated evals and user feedback
• Build and operate cloud-native services as well as CI/CD and evaluation pipelines with GitHub and Azure, and actively share best practices and engineering standards across teams

Living potential

Your strengths ##

• At least 5 years of professional experience in professional software engineering with a focus on resilient, production-ready systems in agile, interdisciplinary teams; practical experience in the development and productionization of Agentic-AI systems (multi-agent orchestration, tool use, MCP, state/memory management, RSI patterns and agentic RAG)
• Sound practical knowledge of current frontier reasoning, multimodal and open-weight models (OpenAI GPT, Claude, Gemini, Qwen, DeepSeek etc.) including context engineering, model routing, structured outputs as well as automated evals and tracing
• Strong software engineering and cloud-native skills (Python and/or TypeScript as well as .NET/C# and ASP.NET Core for enterprise backends) on Azure and Kubernetes using Azure AI Foundry and GitHub (GitHub Actions, Copilot)
• Solid understanding of enterprise AI security, data protection and governance (least-privilege agent permissions, sandboxed execution, prompt-injection defense, auditability)
• Solution-oriented, communicative and team-oriented personality who quickly grasps business requirements, develops innovative solutions with AI-native workflows and creates measurable added value; enjoyment of interdisciplinary collaboration, cross-skilling and mentoring completes your profile

Your workplace ##

Grubenstrasse 49, 8045 Zürich

Your contact ##

Talent Acquisition Partner

Petra Bärtsch contact form