Senior Agent Researcher / Engineer

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

Fluent Chinese communication skills

enabling close collaboration with China-based teams

Nice to Have

Publications, technical blogs, or open-source contributions

Experience with automotive, chip, or intelligent cockpit systems (a plus, not a requirement)

Keywords

Evaluation-driven Agent

Systems Thinking

Research × Engineering

AI-Native

We are less interested in whether an Agent can simply run, and more focused on

how well it performs, why it behaves as it does, and how it can continue to improve over time .

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