You will work at the intersection of large language models, automation, and real business challenges. You will partner closely with engineers, data scientists, and business stakeholders to own, shape and deliver impactful AI products at Garena.
These projects span both internal and external products, including AI-powered operational tools, AI-driven agents and game localization platforms, supporting real-time interactions and global users at scale.
Job Description
- Build AI products end to end alongside an AI Product Manager, from discovery and prototyping to shipping, measuring, and iterating.
- Own the full backend of an AI product, including model orchestration, retrieval layers, APIs, data flow, storage systems, and middleware.
- Set technical direction for the systems you own, make architecture decisions, and uphold high standards for code quality and review.
- Strengthen the foundations that make AI products reliable, including evaluations, guardrails, fallbacks, human-in-the-loop workflows, and clear error handling when models fail.
- Operate the products you build end to end, taking ownership of on-call rotations, monitoring, incident response, and quality investigations.
- Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML.
Job Requirements
- Bachelor's degree or higher in Computer Science, Information Systems, or a related field.
- At least 3 years of full-time engineering experience, with a track record of 0-to-1 and end-to-end product ownership.
- Strong backend foundation in system design, distributed systems, databases, caching, and message queues.
- Comfortable working across the stack, including APIs, infrastructure, frontend, and product metrics.
- Fluent in LLM product patterns such as chat, copilots, RAG, agents, and tool calling, with sound judgment on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review.
- Proficient in reading and modifying code across common backend languages.
- Comfortable with on-call responsibilities and operating consumer-scale services.
- Open-minded, agile, and proactive mindset with a strong willingness to learn.
- Strong sense of responsibility and accountability in delivering quality work on time.
