Senior GenAI Engineer

R SYSTEMS (SINGAPORE) PTE LIMITED; Singapore; On-site; SGD 180,000 - 320,000; Full time

Benefits offered by this job

Job summary

R SYSTEMS (SINGAPORE) PTE LIMITED is seeking an experienced software engineer to build production-grade GenAI applications, leveraging LangGraph, LangChain and related orchestration tools.

You will work with open weight models, hosted LLMs, and enterprise data sources, focusing on reliability, observability, and maintainability while collaborating across application, data, platform, security and infrastructure teams.

Qualifications

• 10 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 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, 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.
• Experience with observability, logging, tracing and troubleshooting for GenAI or backend applications.
• Familiarity with containerised deployment environments such as Kubernetes or OpenShift.
• Ability to write clean, maintainable and testable code.
• Strong analytical, debugging and troubleshooting skills.
• High ownership, high curiosity and genuine interest in building useful AI products.

Responsibilities

• 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, datasources and operational platforms.
• Engineer solutions for production quality, including logging, tracing, evaluation, fallback behaviour and troubleshooting.
• Strong hands on experience building production grade GenAI applications.
• Practical experience with LangGraph, LangChain, agentic workflows, RAG and tool calling.
• Understanding of open weight models and how to integrate them into real applications.
• Ability to challenge weak designs and propose better ones.
• Strong engineering discipline around reliability, testing, observability and maintainability.
• Ability to work across application, data, platform, security and infrastructure teams.

Skills

GenAI development

LangGraph

LangChain

Python

Java

Kubernetes

OpenShift

Observability

Logging

API integration

Tools

LangGraph

LangChain

Kubernetes

OpenShift

Job description

Responsibilities:

• Build and improve GenAI applications using frameworks such asLangGraph,LangChainor similar orchestration tools.
• Work withopen 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, datasourcesand operational platforms.
• Engineer solutions for production quality, including logging, tracing, evaluation, fallbackbehaviourand troubleshooting.
• Stronghands onexperience buildingproduction grade GenAI applications.
• Practical experience withLangGraph,LangChain, agentic workflows, RAG and tool calling.
• Understanding ofopen weight models and how to integrate them into real applications.
• Ability to challenge weak designs and propose better ones.
• Strong engineering discipline around reliability, testing,observabilityand maintainability.
• Ability to work acrossapplication, data,platform,securityand infrastructure teams.

Requirement:

• 10or more years of software engineering experience, preferably with recenthands onexperience in GenAI application development.
• Proven experience buildingproduction grade GenAI applications, not only prototypes,experimentsor demos.
• Stronghands onexperience withLangGraph,LangChainor similar orchestration frameworks.
• Practical understanding ofRAG, agentic workflows, tool calling, promptorchestrationand context management.
• Experience integrating LLMs into real applications using APIs, backendservicesand enterprise data sources.
• Experience withopen weight modelsor strong interest backed by hands on experimentation.
• Strong backend engineering skills usingPython,Javaor similar languages.
• Experience with observability, logging,tracingand troubleshooting for GenAI or backend applications.
• Familiarity withcontaineriseddeployment environments such asKubernetes or OpenShift.
• Ability to write clean,maintainableand testable code.
• Strong analytical,debuggingand troubleshooting skills.
• High ownership, highcuriosityand genuine interest in building useful AI products.