Senior AI Agent Researcher — Evaluation-Driven Systems

XG TECH PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

XG Tech in Singapore is seeking a Senior Agent Researcher to design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus on understanding, measuring, and continually improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

You will work on scalable evaluation infrastructure, prototype systems, and apply advances in LLMs and multi-agent contexts, balancing performance and

Qualifications

• Proven experience designing, building, or deploying Agent systems in production.
• Experience with LLM-based applications and multi-agent setups.
• Strong understanding of AI/ML fundamentals and system design.
• Hands-on with evaluation, experimentation, or A/B testing.

Responsibilities

• Build and evolve evaluation-driven Agent systems, using evaluation as the core mechanism for behavior improvement and iteration.
• Design Agent architectures that are observable, maintainable, and optimizable under real-world constraints.
• Develop scalable evaluation infrastructure, including automated testing, benchmarking, and experimentation frameworks.
• Optimize Agent performance across architecture, model selection, context management, memory, and tool usage.
• Rapidly prototype Agent systems and demos, integrating research insights with engineering and product validation.
• Continuously explore and apply advancements in LLMs, multimodal models, multi-agent systems, and context engineering.

Skills

Agent systems

LLMs

Multi-agent systems

Evaluation frameworks

System design

Production readiness

Job description

XG Tech in Singapore is seeking a Senior Agent Researcher to design and build evaluation-driven Agent and multi-agent systems for complex real-world applications. You will focus on understanding, measuring, and continually improving their behavior, combining research depth with strong engineering execution in an AI-native development environment.

You will work on scalable evaluation infrastructure, prototype systems, and apply advances in LLMs and multi-agent contexts, balancing performance and