Sr Research Engineer (Must have- Python, LLM & RAG)

Role SummaryWe are partnering with a leading research and innovation organization to hire a Junior/Senior Research Engineer to build Agentic Intelligence systems for planning, scheduling, and inventory optimization in manufacturing and operations environment. In this role, you will work on agent-based AI systems, combining Large Language Model (LLM), optimization techniques, and real-world data to create scalable, production-ready solutions.Key ResponsibilitiesBuild and improve multi-agent systems for planning, scheduling, and inventory tasksCombine LLMs with optimization methods to solve complex real-world problemsDesign and extend semantic reasoning layers (intents, constraints, domain logic)Model operational data using knowledge graphs + vector searchDevelop event-driven backend services and APIs integrated with enterprise systemsImprove agent orchestration, tool integration, and workflowsSet up evaluation, monitoring, and guardrails (cost, latency, reliability)Deploy and run services using Docker, Kubernetes, and CI/CD pipelinesCollaborate with AI/ML engineers to bring research into productionWork with end users (planners/operators) to ensure practical, usable solutionsLeverage AI coding tools to improve development speed and qualityOur Ideal CandidateHas a Bachelor's Degree in Computer Engineering, Software Engineering, or related field.Has at least 5 years of experience building production backend systems using Python, C#, FastAPI or similar, preferably in manufacturing domain with MES/ERP systemsHas experience with the following tech stack: Agent frameworks (e.g., LangChain, LangGraph)RAG systems (retrieval, chunking, reranking, evaluation)Vector databases (Pinecone, Qdrant, etc.)Event-driven systems (Kafka or similar)Has strong knowledge of cloud (AWS/Azure/GCP), Docker, Kubernetes, CI/CDHas excellent problem-solving, troubleshooting, and analytical skillsHas effective communication and collaboration skillsUEN:202329526GEA Licence: 23S2061