Cygnify

Software Developer

Singapore
C# .NET SQL Server Angular Microservices CI/CD DevOps Generative AI Machine Learning
Description

Junior/Senior Research Engineer/s (Python & LLM are must have)

Department: A*Star

Location: Singapore

Employment Type: FullTime

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

Cygnify
Cygnify

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