Aufgaben
* Design/implement/optimize autonomous AI agents using Databricks and the clients own AI Hub
* Develop structured agent execution flows (goal definition, step evaluation, skill selection, iterative improvement of agent behavior)
* Create and refine prompts, behavioral rules and system configurations to ensure consistent outputs
* Collaborate with Backend- & Data Engineers to integrate skills into agent workflows, ensuring agents can effectively interact with data products and external systems
* Leverage evaluation frameworks (e.g. MLflow, LLM Judge) to measure and improve agent performance, accuracy, and efficiency.
* Work as part of a shared backlog team to ensure end-to-end success of the AI platform and use cases
Profil
* Knowledge in Databricks AI, model serving and integration within Azure environments
* Knowledge in LLM-based applications and agent frameworks
* Knowledge in Design structured prompts, define agent behaviors and control execution flows
* Knowledge in Python programming and integrating AI systems with external services
* Knowledge in LLM evaluation techniques
* Knowledge in Multi-agent systems and concepts
* Knowledge in Data platforms and products
Benefits
* Remote work possible
* Fascinating, innovative environment in an international atmosphere