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Software Engineer I - LLM Observability

Honeycomb.io - Remote - Remote - posted 2026-10-15

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Salary: CAD 218,891 - 245,946 / annual

Honeycomb is a Series D-funded observability platform serving companies like Slack, HelloFresh, LaunchDarkly, and Vanguard. The company was named to Forbes' America's Best Startups in 2022 and 2023, and operates as a fully distributed organization with 200+ employees. You'll join the LLM Observability team, a small cross-functional group building observability capabilities for AI agents and systems. The team owns both the data foundation and product experiences, working closely with a dedicated product manager and designer to ship features customers use in production. In this role, you will: - Deliver AI observability capabilities end-to-end, from data ingestion to in-product visualizations - Contribute to the data model and infrastructure that enables observing agents and their ecosystems across the Honeycomb product - Build systems that analyze and surface AI-specific signals such as cost, token usage, errors, and anomalies - Collaborate with product and design partners to ensure solutions are usable, intuitive, and unlock meaningful user workflows - Share learnings about exploring and understanding AI system behavior across conversations and workloads - Iterate through fast feedback loops and experimentation, sharing both wins and failures - Join the on-call rotation after approximately 90 days Honeycomb offers a distributed-first culture with unlimited PTO, generous equity, home office and internet stipends, full benefits coverage, up to 16 weeks of paid parental leave, and an annual development allowance. REQUIREMENTS: - 3+ years of software engineering experience - Experience shipping customer-facing features at a SaaS company (beyond internal tooling) - Full-stack proficiency: backend development in Go and/or Python; frontend development in TypeScript and React - Track record of working effectively with product managers and designers - Regular, hands-on use of AI tools in day-to-day engineering work - Experience being on call - Demonstrated ability to navigate ambiguity in a fast-moving field where requirements shift and experimentation is core to the job - Bonus: Experience building LLM or agent-powered features in production - Bonus: Hands-on experience with observability tooling such as OpenTelemetry Note: The company cannot currently sponsor or support visa transfers.

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