AI Engineer

R Systems; Singapore; Presencial; SGD 120.000 - 180.000; Jornada completa

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

We are looking for a Senior GenAI Application Engineer who operates effectively at the intersection of software engineering, GenAI application development, enterprise integration and production delivery.

The successful candidate will help design, build and improve production grade GenAI applications that are reliable, observable, maintainable and useful to real enterprise users.

The successful candidate will:

• Build and improve GenAI applications using frameworks such as 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.

Below are the key skillsets required for the role:

• 6 or more years of software engineering experience, preferably with recent hands on experience in GenAI application development.
• Proven experience building production grade GenAI applications, not only prototypes, experiments or demos.
• Strong hands on experience with Lang Graph, Lang Chain 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, backend services and enterprise data sources.
• Experience with open weight models or strong interest backed by hands on experimentation.
• Strong backend engineering skills using Python, Java or similar languages.
• Good understanding of API design, distributed systems and production resilience patterns.
• Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.