Member of Technical Staff (Software Engineer, Enterprise Agent Evals & Efficiency)

Job Description

Build realistic enterprise evaluation environments, evaluation infrastructure, task suites, and graders to measure agent performance on complex workflows. Diagnose agent failures and ship improvements to tools, skills, models, routing, and execution strategies that increase task success and reliability while reducing latency and cost.

Requirements: Requires 5+ years of software or machine learning engineering experience, strong backend and system design skills, and hands-on experience building or improving LLM applications or agents. Candidates should bring deep expertise in at least one relevant area, strong experimental judgment, and a record of leading complex initiatives through production adoption.

Key Skills: Software Engineering, Machine Learning Engineering, Backend Development, Python, Go, Rust, LLM Applications, AI Agents, Evaluation Infrastructure, Benchmark Design, Automated Grading, System Design, Model Routing, Inference Efficiency, Statistical Analysis, Cross-Functional Leadership