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

About the job

We are looking for a pragmatic, solution-oriented AI Software Engineer who implements strategic business initiatives into production-ready agentic AI solutions within 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.

• Take end-to-end engineering ownership in focused, interdisciplinary projects: from requirements clarification and architecture to testable, deployable, and operations-ready production services (including observability, SLOs, and runbooks)
• Design and orchestrate stateful multi-agent workflows, tool integrations (MCP, A2A, Enterprise APIs), hybrid retrieval/memory pipelines, as well as recursive self-improvement (RSI) loops with reliable guardrails
• Work directly with business stakeholders, domain experts, architects, and engineers to deeply understand the core business problems, translate them into pragmatic solutions, and continuously develop them through automated evaluations 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

• At least 5 years of professional software engineering experience focusing on resilient, production-ready systems in agile, interdisciplinary teams; practical experience in developing and deploying agentic AI systems (multi-agent orchestration, tool use, MCP, state/memory management, RSI patterns, and agentic RAG)
• Solid 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 evaluations 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 AIFoundry and GitHub (GitHub Actions, Copilot)
• Sound understanding of enterprise AI security, data protection, and governance (least-privilege agent permissions, sandboxed execution, prompt-injection defence, 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 complete your profile

• Market-oriented base salary
• Bonus depending on company success and personal performance
• Between 25 and 30 days of holiday
• Recognition of service anniversaries every five years
• Flexible working hours
• Mobile office
• Time-out models
• Flexible working models 58+
• Internal training offers
• Support for external education and training