Clera Founding Engineer at Clera to build evaluation environments and benchmarks for AI agents performing real-world company work. Combine agent evaluation research with production readiness.
Responsibilities
Build evaluation environments and benchmarks that measure whether AI agents can perform real-world company work and meet or exceed human performance. This founding engineering role combines agent evaluation research with production readiness, helping establish reliable evidence of agent capability.
Design synthetic company environments with realistic email, records, and files for agents to use over extended periods.
Build graders and evaluation systems capable of assessing advanced agents, including cases where human reviewers may lack the relevant expertise.
Develop benchmarks that correlate with real-world production performance.
Find and address evaluation failure modes, including reward hacking and benchmark gaming.
Simulate software tools such as inboxes and CRMs with enough fidelity to support agent interactions at scale.
Qualification
Required
Hands-on research experience in synthetic data pipelines, benchmarks, evaluations, or model post-training; this is a research-oriented role, not a pure infrastructure engineering position.
Experience building environments or benchmarks used to train or evaluate agents at a frontier AI lab, and implementing graders or evaluation systems for AI agents.
At least 1 to 2 years at a fast-growing or AI-focused startup, plus mid-level or senior engineering or research experience.
Experience simulating software systems for agent tool use, identifying benchmark flaws, and detecting and fixing reward hacking in evaluation systems.
A degree from a highly selective university or an equivalent credential, such as founding a company or participating in a recognized founder program.
High-level competition experience in mathematics, programming, debate, or games is a plus.
Preferred
High-level competition experience in mathematics, programming, debate, or games
