Senior GenAI Application Engineer - Production LLM Apps

R Systems

Singapore

Presencial

SGD 120.000 - 180.000

Jornada completa

hace 14 horas
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Descripción de la vacante

R Systems is seeking a Senior GenAI Application Engineer who operates at the intersection of software engineering, GenAI application development, enterprise integration and production delivery. The successful candidate will design, build and improve production-grade GenAI applications that are reliable, observable, and useful to real enterprise users.

The role requires hands-on experience with LangGraph, LangChain, open weight models and integrating LLMs into production systems.

Formación

  • Six+ years of software engineering experience with GenAI application development.
  • Proven production-grade GenAI applications built, not just prototypes.
  • Hands-on with LangGraph, LangChain or similar orchestration frameworks.
  • Practical understanding of RAG, agentic workflows, tool calling, prompt orchestration and context management.
  • Experience integrating LLMs into real applications using APIs and enterprise data sources.

Responsabilidades

  • Design, build and improve production-grade GenAI applications.
  • Ensure reliability, observability, and maintainability for enterprise users.
  • Integrate GenAI applications with enterprise systems, APIs and data sources.

Conocimientos

Software engineering
GenAI application development
API design
Distributed systems
Observability
Open weight models
RAG workflows
Tool calling
Prompt orchestration
Context management
Python
Java
Production resilience

Herramientas

LangGraph
LangChain

Descripción del empleo

R Systems is seeking a Senior GenAI Application Engineer who operates at the intersection of software engineering, GenAI application development, enterprise integration and production delivery. The successful candidate will design, build and improve production-grade GenAI applications that are reliable, observable, and useful to real enterprise users.

The role requires hands-on experience with LangGraph, LangChain, open weight models and integrating LLMs into production systems.

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