AgentEvaluationIntern

# **_About the Hiring Team_** Level Infinite is Tencent’s global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world. We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games. # **_What the Role Entails_** We are hiring an intern to work on evaluation and reliability infrastructure for a real-world LLM agent system in the UA performance marketing field. The agent performs multi-step reasoning, retrieves context, selects tools, executes actions, handles user confirmations, and interacts with external services. The goal of this internship is to build transferable expertise in agent evaluation engineering: evaluating tool use, measuring trajectory quality, designing benchmarks, analyzing traces, comparing model and prompt variants, and improving the reliability of agentic AI systems. This role is ideal for someone interested in future opportunities in LLM agent evaluation, AI safety evaluation, research engineering, LLMOps, or applied AI infrastructure. * Research the state-of-the-art agentic workflow evaluation frameworks in the industry and in the research field. * Apply the theory to build automated evaluation pipelines that can run agent scenarios, capture execution artifacts, score results, and detect regressions. * Evaluate tool-use behavior, including whether the agent selects the right tool, passes correct arguments, avoids unnecessary calls, and handles tool errors appropriately. * Analyze agent trajectories using traces, logs, intermediate steps, and final outputs to identify reasoning failures, context misuse, halluc