AI Solution Engineer (LLM & Agentic AI)
Core
Design, build, and deliver LLM-based applications (RAG, agents, automation) and data pipelines for Evonik's internal business problems.
Role type
Senior AI Solution Engineer (LLM & Agentic AI)
Builds
Production-ready AI applications, data pipelines, and reusable agent patterns for enterprise use.
Domain
Chemical industry + Generative AI / LLMs
Deliverable
production ML models
Required skills
LLM application engineering, RAG, prompt engineering, agentic workflows, Python, API development, data integration, cloud deployment (Azure), CI/CD, SQL
Preferred skills
Enterprise system integration (SAP/Microsoft), industrial/scientific data environments
Technologies
Python, Azure, Git, Azure DevOps, SQL, RAG frameworks, LLM APIs
Responsibilities
Shape feasible AI solution options and validate value through prototypes; Design and build LLM-based applications including RAG and AI agents; Own end-to-end implementation from prototype to production; Build data and knowledge pipelines for reliable AI ingestion and retrieval; Connect AI solutions with enterprise systems and APIs; Apply responsible AI practices, security, and production support; Contribute reusable components and implementation guidance.