Junior/Senior Research Engineer

Role Summary

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 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 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

Our Ideal Candidate

Has 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 systems

Has 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/CD

Has excellent problem-solving, troubleshooting, and analytical skills

Has effective communication and collaboration skills

#LI-SC1