Applied AI Engineer till Siemens Energy
Core
Develop and implement AI solutions to engineer processes and systems, including LLMs, AI agents, and MCP servers, within the Product Lifecycle Management (PLM) domain.
Role type
Applied AI Engineer (IC)
Builds
AI solutions, MCP servers, and AI pipelines for engineering systems
Domain
Energy technology / Engineering systems / PLM
Deliverable
production ML models
Required skills
Python, LLMs (fine-tuning, RAG, agents), Microsoft Azure, MLOps/LLMOps, API development, SQL, System architecture
Preferred skills
C#/.NET, TypeScript, PLM systems, Model Context Protocol (MCP)
Technologies
PyTorch, Hugging Face, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure Functions, Docker, AKS, Azure DevOps, GitHub
Responsibilities
Identify AI opportunities to engineer processes; Translate business needs to technical solutions; Develop and fine-tune AI models; Build and implement AI solutions (RAG, agents); Design and develop MCP servers; Operate AI models in Azure; Develop AI pipelines and integrations; Ensure security and responsible AI use; Support AI adoption and user training
Seniority
Mid-Senior, hands-on IC
