How Llm Agents Work Fail And Improve
AgentEvaluationIntern
“Agent Evaluation Intern at How Llm Agents Work Fail And Improve. Skills: Agent evaluation, LLM agents, Evaluation pipelines, Reliability engineering. Build automated evaluation pipelines. Evaluate tool-use behavior”
Industry & Context.
Analyze agent trajectories; Identify reasoning failures; Identify context misuse; Identify hallucinated assumptions; Identify brittle workflow patterns
What They're Looking For.
Must Have
Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, or a related field, Python fundamentals, Interest in AI systems, Comfortable reading logs, traces, test cases, and structured data
Nice to Have
Prior experience with LLMs, Prior experience with LangChain-like agents, Prior experience with tool calling, Prior experience with pytest, Prior experience with data analysis, Prior experience with observability tools
What You'll Do.
Build automated evaluation pipelines
Evaluate tool-use behavior
Analyze agent trajectories
Design metrics for agent reliability
Create reusable evaluation datasets
Support experiments comparing prompts
Help build human evaluation workflows
Translate evaluation findings into improvements
Compose research papers
How You'll Work.
Team & Collaboration
Work with engineers to translate evaluation findings
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