We are partnering with a leading research and innovation organisation to hire a Junior/Senior Research Engineer to build Agentic Intelligence systems for planning, scheduling, and inventory optimization in manufacturing and operations. You’ll work on agent-based AI systems, combining LLMs, optimization techniques, and real-world data to create scalable, production-ready solutions.
Key Responsibilities
Build and improve multi-agent systems for planning, scheduling, and inventory tasks
Combine LLMs with optimization methods to solve complex real-world problems
Design and extend semantic reasoning layers (intents, constraints, domain logic)
Model operational data using knowledge graphs + vector search
Develop event-driven backend services and APIs integrated with enterprise systems
Improve agent orchestration, tool integration, and workflows
Set up evaluation, monitoring, and guardrails (cost, latency, reliability)
Deploy and run services using Docker, Kubernetes, and CI/CD pipelines
Collaborate with AI/ML engineers to bring research into production
Work with end users (planners/operators) to ensure practical, usable solutions
Leverage AI coding tools to improve development speed and quality
Requirements
Bachelor's degree in AI, Computer Engineering, Software Engineering, or related field.
3+ years building production backend systems (Python, C#, FastAPI or similar)
Experience in Manufacturing Domain, especially working with MES/ERP systems
Hands-on experience with agent frameworks (LangChain, LangGraph, etc.)
Experience with RAG systems (retrieval, chunking, reranking, evaluation)
Familiarity with vector databases (Pinecone, Qdrant, etc.)
Experience with event-driven systems (Kafka or similar)
Strong knowledge of cloud (AWS/Azure/GCP), Docker, Kubernetes, CI/CD
Excellent problem-solving, troubleshooting, and analytical skills, with a high level of attention to detail.
Strong verbal and written communication skills.
Positive, proactive attitude, with the ability to collaborate effectively across multiple stakeholders.
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