Senior AI Engineer (w/m/d)
Core
Develop and implement productive AI applications (Machine Learning, GenAI, LLM-based systems) and deploy them into scalable, production-ready environments.
Role type
Senior AI Engineer (End-to-End ML & GenAI)
Builds
Scalable AI services, APIs, and workflows integrated into existing system landscapes using Azure and Databricks.
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models | product features
Required skills
Python, RAG systems, Agentic AI, Azure, Databricks, End-to-End ML pipelines, LLM platforms
Preferred skills
Experience with Microsoft Copilot, GitHub Copilot, Model Orchestration, AI Use Case conception
Technologies
Azure, Databricks, Python, LLM platforms, RAG frameworks
Responsibilities
Design and implement modern AI architectures (RAG, Feature Pipelines), build and operate data/model pipelines (Training, Inference, Monitoring), ensure performance and scalability, collaborate with business units to identify AI use cases.
Seniority
Senior, hands-on IC
