Software Engineer I - LLM Observability

Little more about the team:

The team builds observability for AI in Honeycomb. We help customers see what their agents are doing, what those agents cost, and where errors happen. We also give them insight into individual conversations so they can debug them. We're bringing LLM and agent observability together, and we own both the data foundation and the product experiences built on top of it. You'll work in a small, cross-functional group of engineers with a dedicated product manager and designer, shipping features customers use in production. If you want to define how people understand and debug AI systems, this is the team for you.

What you’ll do in the role:

• Deliver AI observability capabilities end to end, from ingestion to in-product visualizations.
• Contribute to the data model and infrastructure that let us observe 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 make sure what we build is usable, intuitive, and unlocks meaningful user workflows.
• Share what you learn about exploring and understanding AI system behavior across conversations and workloads.
• Iterate through fast feedback loops and experimentation, and share both wins and failures.

What you’ll bring to the role:

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