About the job
Core
Design, build, and optimize AI-based energy monitoring and optimization solutions for manufacturing sites (semiconductor, battery, petrochemical) and data centers.
Role type
Senior AI/ML Engineer (Energy Optimization & Manufacturing)
Builds
AI energy monitoring solutions, LLM-based AI Agents, RAG systems, and ontology-based energy networks for industrial clients.
Domain
Manufacturing (Semiconductor, Battery, Petrochemical) + Energy Efficiency + AI
Deliverable
production ML models | product features
Required skills
LLM-based AI Agent development, Multi-Agent system architecture, RAG implementation, Generative AI service building, Manufacturing business data analysis, Project management
Preferred skills
FEMS/BEMS or HVAC/Power/Utility energy system experience, Ontology/Graph DB/LangChain/LangGraph/Vector DB, Java/Spring Boot/Python/FastAPI/REST API/OPC-UA, Oracle/MariaDB/PostgreSQL/Neo4j, AWS/Kubernetes/EKS/RDS/S3/CI/CD, React/Vue.js
Technologies
LLM, RAG, Ontology, Graph DB, LangChain, LangGraph, Vector DB, Python, Java, Spring Boot, FastAPI, REST API, OPC-UA, Oracle, MariaDB, PostgreSQL, Neo4j, AWS, Kubernetes, EKS, RDS, S3, CI/CD, React, Vue.js
Responsibilities
Design and architect LLM-based AI Agents and Multi-Agent systems; Implement RAG using manufacturing and energy data; Develop LLM-based optimal utility operation guides; Structure ontology-based energy networks; Manage project scope, schedule, and quality; Collaborate with customers and related organizations.
Seniority
Senior, hands-on IC with PM/PL/AA experience