AI Engineer, LLM Apps & Production Systems

GARENA ONLINE PRIVATE LIMITED; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Garena Online Private Limited is seeking an AI Engineer to build and operate production-grade AI Agent capabilities for Spark. You will work on LLM orchestration, backend services, enterprise integrations, memory and evaluation systems, owning features from design through production deployment.

Responsibilities include designing, building, and deploying LLM-powered applications, exploring models, and collaborating with Product Managers and Designers to translate needs into practical AI

Qualifications

• Bachelor's degree or higher in a related field.
• Hands-on experience building AI/LLM applications.
• Experience with RAG architectures and related frameworks.
• Familiarity with APIs, databases, and cloud platforms.

Responsibilities

• Design, build, and deploy LLM-powered applications and AI agents.
• Deliver end-to-end product solutions and experiment with models and frameworks.
• Develop AI workflows using RAG, tool calling, and prompt engineering.
• Collaborate with Product Managers and Designers to translate user needs into solutions.
• Prototype quickly and validate ideas with experiments and user feedback.
• Optimize AI systems for accuracy, latency, and cost.
• Deploy and maintain AI solutions in production, with monitoring and improvements.
• Stay updated on LLMs, generative AI, and AI agent technologies.

Skills

Python

LLM / Generative AI

Prompt engineering

RAG architectures

APIs & Cloud

Problem solving

Team collaboration

Education

Bachelor's degree in Computer Science / AI / Computer Engineering / Data Science

Tools

LangChain

LangGraph

Job description

Garena Online Private Limited is seeking an AI Engineer to build and operate production-grade AI Agent capabilities for Spark. You will work on LLM orchestration, backend services, enterprise integrations, memory and evaluation systems, owning features from design through production deployment.

Responsibilities include designing, building, and deploying LLM-powered applications, exploring models, and collaborating with Product Managers and Designers to translate needs into practical AI