Senior GenAI Applications Engineer - Production-Ready

encora technologies pte. ltd.

Singapore

On-site

SGD 150,000 - 230,000

Full time

14 days+
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Job summary

Encora Technologies Pte. Ltd. is seeking a Senior GenAI Application Engineer to operate at the intersection of software engineering, GenAI app development, enterprise integration and production delivery.

The role focuses on building and improving production-grade GenAI applications that are reliable, observable, and useful to real enterprise users, using LangGraph, LangChain or similar orchestration tools, open weight models, and scalable model serving patterns.

Qualifications

  • 10+ years of software engineering experience; hands-on GenAI app development preferred.
  • Proven experience building production-grade GenAI apps.
  • Strong hands-on experience with LangGraph, LangChain or similar orchestration frameworks.
  • Understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.

Responsibilities

  • Build and improve GenAI applications using orchestration frameworks.
  • 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, and fallback handling.

Skills

GenAI application development
Production-grade software
Python
Java
APIs and enterprise integration
Observability and troubleshooting
Distributed systems
Containerization (Kubernetes/OpenShift

Tools

LangGraph
LangChain
Kubernetes
OpenShift

Job description

Encora Technologies Pte. Ltd. is seeking a Senior GenAI Application Engineer to operate at the intersection of software engineering, GenAI app development, enterprise integration and production delivery.

The role focuses on building and improving production-grade GenAI applications that are reliable, observable, and useful to real enterprise users, using LangGraph, LangChain or similar orchestration tools, open weight models, and scalable model serving patterns.

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