jobs in CYGNIFY PTE. LTD.

全职 Sr Research Engineer (Must have- Python, LLM - RAG) 工作, 薪水 up to SGD 5,000, CYGNIFY PTE. LTD. Central Region (Singapore) 公司招聘中 - Ricebowl

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

CYGNIFY PTE. LTD.

SGD5,000 - SGD5,000 每月

Central Region (Singapore)

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工作地点

  • 60 PAYA LEBAR ROAD Central Region (Singapore) Singapore

职位描述

岗位职责

Role Summary

We 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 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

UEN:202329526G

EA Licence: 23S2061

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