Senior GenAI Applications Engineer

Tangspac Consulting Group

Singapore

On-site

SGD 120,000 - 180,000

Full time

4 days ago
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Job summary

Tangspac Consulting Group is recruiting a senior GenAI engineer to build and scale production-grade GenAI applications in Singapore. You will work with LangGraph, LangChain and other orchestration tools, integrating LLMs into enterprise systems and APIs.

The role emphasizes robust telemetry, logging, tracing and fault-tolerance in production environments. You should have 5+ years of software development experience, strong back-end skills in Python/Java, and hands-on experience with open-weight

Qualifications

  • 5+ years of software engineering experience.
  • Proven production-grade GenAI applications experience.
  • Hands-on with LangGraph/LangChain or similar orchestration frameworks.
  • Understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
  • Experience integrating LLMs via APIs and enterprise data sources.
  • Experience with open-weight models or active experimentation.

Responsibilities

  • Build and improve GenAI applications using LangGraph, LangChain or similar orchestration tools.
  • Work with open-weight models, hosted LLMs and model serving patterns.
  • Develop agentic workflows, retrieval-augmented generation, tool calling and prompt orchestration.
  • Integrate GenAI applications with enterprise systems, APIs, data sources and operational platforms.
  • Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.

Skills

GenAI development
Production-grade software
Python/Java
Debugging/troubleshooting
Code maintainability
Ownership/curiosity
API design

Tools

LangGraph
LangChain
Kubernetes/OpenShift
Open-weight models
vLLM
Redis
Langfuse/Elastic

Job description

Tangspac Consulting Group is recruiting a senior GenAI engineer to build and scale production-grade GenAI applications in Singapore. You will work with LangGraph, LangChain and other orchestration tools, integrating LLMs into enterprise systems and APIs.

The role emphasizes robust telemetry, logging, tracing and fault-tolerance in production environments. You should have 5+ years of software development experience, strong back-end skills in Python/Java, and hands-on experience with open-weight

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