Forward Deployed Engineer

Garena; Singapore; On-site; SGD 70,000 - 100,000; Full time

Job summary

Garena is seeking a skilled engineer to build and own AI products from concept to launch. You will collaborate with product managers and data scientists while managing backend processes and architectural decisions. Ideal candidates will possess strong experience in system design and a proven ability to deliver quality projects on time.

Fluency in various AI product patterns and a track record of successful product ownership are essential for this role based in Singapore.

Qualifications

• At least 3 years of full-time engineering experience with end-to-end product ownership.
• Strong backend foundation in system design and distributed systems.
• Experience with LLM product patterns including chat and agentic AI-harness.

Responsibilities

• Build AI products from discovery to shipping and iteration.
• Own the full backend of AI products, including data flow and APIs.
• Set technical direction for systems, ensuring code quality.

Skills

System design

Distributed systems

APIs

Cross-functional collaboration

Backend languages

Machine learning techniques

Tools

Databases

Message queues

Frontend

Job description

You will work at the intersection of AI agents, automation, and real business challenges. You will partner closely with product managers, 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 monitoring, incident response, and quality investigations.
• Select the right techniques and tools for each problem, including prompting, RAG, fine-tuning, agents, and classical ML.

Requirements

• 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, agentic AI-harness, with sound judgment and proven experience making technical decisions on prompt vs. fine-tune, retrieval vs. long context, and automation vs. human review.
• Proficient in reading and modifying code across common backend languages.
• Strong cross-functional collaboration skills to work effectively with product, data science, business, operations, and end-user teams.
• Open-minded, agile, and proactive mindset with a strong willingness to learn.
• Strong sense of responsibility and accountability in delivering quality work on time.