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Full-stack engineer (Software Engineer I) on Honeycomb's LLM Observability team, building AI observability end to end: ingesting agent/LLM signals like cost, token usage, and errors, and surfacing them in in-product visualizations. Backend work in Go and/or Python, frontend in TypeScript and React.
Builds and owns Honeycomb's AI/LLM observability product end to end — from ingestion pipelines and agent data models to in-product visualizations of cost, tokens, errors, and anomalies — on a small cross-functional team. Full-stack work: Go and/or Python on the backend, TypeScript and React on the frontend.
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
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