Remote Senior SWE - LLM Observability & AI Signals

Candidate

United States

Remote

USD 183,000 - 206,000

Full time

3 days ago
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Benefits offered by this job

Equity
Unlimited PTO
Home office stipend
Full benefits coverage
Parental leave
Development allowance

Job summary

Honeycomb is hiring for an engineer to own end-to-end AI observability features, from data ingestion to in-product visualizations. You will architect the data model and infrastructure to observe agents across the Honeycomb product, and build systems that surface AI signals like cost, tokens, errors, and anomalies.

You will collaborate with product managers and designers to ensure usable, intuitive workflows, and you’ll share best practices for exploring AI system behavior across conversations

Qualifications

  • End-to-end development experience shipping features, especially in SaaS.
  • Experience shipping customer-facing features beyond internal tooling.
  • Strong full-stack capabilities: backend in Go/Python and frontend in TypeScript/React.

Responsibilities

  • Own end-to-end development of AI observability capabilities, from ingestion to in-product visualizations.
  • Architect and evolve the data model and infrastructure to observe agents and their ecosystems across the product.
  • Build systems that analyze and surface AI-specific signals, such as cost, token usage, errors, and anomalies.
  • Collaborate with product managers and designers to ensure usable, intuitive workflows.
  • Teach best practices for exploring and understanding AI system behavior across conversations and workloads.
  • Iterate through fast feedback loops and experiments, sharing wins and failures.

Skills

Go
Python
TypeScript
React
SaaS experience
PM collaboration
AI tooling
On-call
Ambiguity handling
LLM features
OpenTelemetry

Tools

OpenTelemetry

Job description

Honeycomb is hiring for an engineer to own end-to-end AI observability features, from data ingestion to in-product visualizations. You will architect the data model and infrastructure to observe agents across the Honeycomb product, and build systems that surface AI signals like cost, tokens, errors, and anomalies.

You will collaborate with product managers and designers to ensure usable, intuitive workflows, and you’ll share best practices for exploring AI system behavior across conversations

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