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Responsibilities:
- Design and harden the multi-step, tool-using agent loops behind current and new agentic experiences.
- Bring judgment about where evaluations earn their keep and how to avoid noise dressed up as rigor.
- Decide which models we run where, drive upgrades, and fine-tune our own when that's the right call.
Requirements:
- Senior engineer with hard-won skills in agent engineering: a blend of software engineering, machine learning, and statistics.
- Comfortable reasoning about eval harnesses, fine-tuning runs, retrieval pipelines, and multi-step agent loops.
- Operates at staff scope, owning the most ambiguous, highest-risk problems in your domain.
Benefits:
- Above-average salary and equity.
- Globally distributed team with remote-first culture.
- Competitive compensation and perks.
Sourcegraph
Sourcegraph is the world's most powerful code intelligence platform, providing Code Search and Deep Search to help developers navigate and understand massive codebases. They are a globally distributed team backed by a16z, Sequoia, and Redpoint, and value high agency and direct communication.