This role involves building multi-agent systems that combine Large Language Models with optimization methods to solve complex real-world manufacturing problems
Job Summary
This role involves building multi-agent systems that combine Large Language Models with optimization methods to solve complex real-world manufacturing problems.
Candidates will design semantic reasoning layers and model operational data using knowledge graphs and vector search technologies.
The successful applicant will deploy scalable services using Docker and Kubernetes while collaborating with end users to ensure practical solutions.
Matching Summary
Match Score: 85
This role involves building multi-agent systems that combine Large Language Models with optimization methods to solve complex real-world manufacturing problems.
Skills & Requirements
Must-have
5+ years production backend experience
Python C# FastAPI development
Agent frameworks LangChain LangGraph
RAG systems vector databases
Event-driven systems Kafka
Cloud Docker Kubernetes CI/CD
Nice-to-have
Manufacturing domain MES ERP knowledge
Strong problem-solving analytical skills
Effective communication collaboration skills
Leveraging AI coding tools
Experience with semantic reasoning layers
Key Requirements
Bachelor's Degree in Computer Engineering or related field
At least 5 years of experience building production backend systems
Experience with manufacturing domain MES/ERP systems