Tasks:
- * Build RAG knowledge bases
- * Create technical documentation and test reports
- * Deploy and monitor model services
- * Design AI agents for equipment maintenance
- * Develop and validate LLM applications
- * Evaluate industrial AI feasibility
- * Integrate AI agents with maintenance systems
- * Prepare and govern industrial datasets
Perks/Benefits:
Skills/Tech stack required:
[Agent Orchestration] [AI Agents] [API Integration] [Autogen] [Database Integration] [Data cleaning] [Data Governance] [Function Calling] [Langchain] [Langgraph] [Language Models] [Large Language Models] [Llamaindex] [Model Deployment] [Multi-Agent] [Multi-agent orchestration] [Operations monitoring] [Prompt engineering] [Python] [Retrieval-Augmented Generation] [Retrieval-Augmented Generation RAG] [SQL]
Educational requirements:
[Bachelor's Degree] [Master's Degree]
Role(s):
[AI Engineer] [Engineer] [Equipment Engineer] [Industrial AI Engineer]