Duration: 01.06-31.12.2026

Role Description

• Design and architect new features for (agent-based) AI products, with a strong focus on technical implementation-ensuring solutions are clean, scalable, and modular, and selecting appropriate designs and architectural approaches
• Implement these features within existing and future (agent-based) AI products
• Refactor and transform code from existing codebases into reusable AI modules that can be leveraged across multiple products
• Develop and implement evaluation and testing frameworks for existing (agent-based) AI products to ensure reliable and stable performance

Required Qualifications

• Strong experience in Python programming, with at least 3 years of hands-on development
• Solid practical experience with Generative AI and agent-based AI in Python (ideally using frameworks such as pydantic-ai), with at least 1 year of hands-on experience (more is a plus)
• Proven experience developing complex end-to-end (Gen)AI applications, ideally within cross-functional teams, in a role such as Solution Engineer or AI Engineer
• A collaborative team player who can also work independently and proactively take ownership of tasks
• Excellent written and spoken English skills

Preferred Qualifications

• Theoretical understanding of key concepts in agent-based AI, including models, tools, reasoning, memory, and related approaches such as RAG, as well as protocols like MCP
• Experience in Data Science and Machine Learning
• Experience setting up and maintaining CI/CD pipelines (preferably using GitHub Actions)
• Experience working with Microsoft Azure
• Experience with Kubernetes, including deploying and managing workloads (e.g., deployments, jobs)

Deadline for applications: Thursday, 30.04.2026 at 12 pm.