Full Stack Engineer (AI-Native / Vibe Coding)

Our client is a publicly listed autonomous driving technology company, currently scaling its Agentic Labs in Singapore to build the next-generation agentic paradigm for automotive systems.

• *The Role**

We are hiring a Senior / Staff-level Agent Researcher or Engineer to work on evaluation-driven, system-oriented Agent and Multi-Agent applications in complex real-world scenarios.

• *What You Will Do
• Build and evolve evaluation-driven Agent systems, using evaluation as the primary mechanism to guide Agent behavior, iteration, and long-term improvement
• Design Agent systems that are observable, maintainable, and optimizable under real-world constraints
• Develop scalable and automated Agent evaluation infrastructure that can be reused across projects
• Continuously optimize Agent architectures, model choices, context, memory, and tool usage with clear performance–cost trade-offs
• Rapidly prototype Agent systems and demos using AI-native development practices (research × engineering × product validation)
• *What We Look For
• Senior / Staff-level experience with Agent, LLM, or complex AI systems
• Strong ability to track and internalize advances in Agents, LLM / MLLM, multimodal models, multi-agent systems, and context engineering, and translate them into practical solutions
• Solid foundations in AI / ML and systems, with a deep understanding of models, inference, training, context, evaluation, and system architecture (beyond API-level usage)
• Experience with Agent evaluation frameworks, automated experimentation, or A/B testing
• A research-oriented mindset combined with strong engineering execution
• *Nice to Have**
• Publications, technical blogs, or open-source contributions
• Experience with automotive, chip, or intelligent cockpit systems (a plus, not a requirement)