Lexsi Labs is seeking engineers to build the shared layer and evaluation system for autonomous AI agents. You will join teams across the harness, evals, and toolchain, focusing on planning, execution, observation, recovery, and stop conditions.
Your work enables reproducible, measurable improvements in agent behavior across production-like environments. You will work with Python, distributed systems, and containerized sandboxes, contributing to evaluation pipelines, traceability, and tooling
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