Senior GenAI Apps Engineer - Production-Ready Solutions

D L RESOURCES PTE LTD

Singapore

On-site

SGD 150,000 - 210,000

Full time

14 days+
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Job summary

D L RESOURCES PTE LTD is seeking a Senior GenAI Application Engineer to design, build, and deploy production-grade GenAI applications in a large-scale enterprise. You will work at the intersection of software engineering, GenAI development, enterprise integration and production delivery.

You will leverage LangGraph and LangChain, develop agentic workflows and RAG patterns, and integrate with enterprise data sources and APIs.

Qualifications

  • 10+ years of software engineering experience.
  • Proven production-grade GenAI applications experience.
  • Hands-on with LangGraph, LangChain.
  • Understanding of RAG, agentic workflows, tool calling.
  • Backend skills in Python/Java.
  • API design and distributed systems.
  • Observability and troubleshooting for GenAI.
  • Experience with enterprise integration.

Responsibilities

  • Build and improve GenAI applications using LangGraph/LangChain and 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 apps with enterprise systems, APIs and data sources.
  • Engineer production-grade solutions with logging, tracing, evaluation, fallback, troubleshooting.
  • Bring can-do attitude and delivery mindset.

Skills

Hands-on GenAI app development
Strong engineering judgement
Strong communication skills
Delivery in complex enterprise env.

Tools

LangGraph
LangChain
Agentic workflows
RAG
Tool calling
APIs
Kubernetes/OpenShift

Job description

D L RESOURCES PTE LTD is seeking a Senior GenAI Application Engineer to design, build, and deploy production-grade GenAI applications in a large-scale enterprise. You will work at the intersection of software engineering, GenAI development, enterprise integration and production delivery.

You will leverage LangGraph and LangChain, develop agentic workflows and RAG patterns, and integrate with enterprise data sources and APIs.

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