
Software Engineer I - LLM Observability
Honeycomb.io4 days ago
Remote, CanadaEntry Level
Responsibilities
- Deliver AI observability capabilities from ingestion through in-product visualizations.
- Contribute to the data model and infrastructure for observing AI agents and their ecosystems.
- Build systems that analyze and surface cost, token usage, errors, and anomalies.
- Collaborate with product managers and designers to create usable workflows.
- Share learnings about understanding AI system behavior across conversations and workloads.
- Participate in experimentation, feedback loops, and an on-call rotation after approximately 90 days.
Requirements
- 3+ years of software engineering experience.
- Experience shipping customer-facing features at a SaaS company, beyond internal tooling.
- Full-stack proficiency with backend development using Go and/or Python and frontend development using TypeScript and React.
- Experience working with product managers and designers.
- Regular hands-on use of AI tools in day-to-day engineering work.
- Experience being on call.
- Ability to navigate ambiguity and shifting requirements in a fast-moving, experimentation-oriented environment.
- Experience building LLM- or agent-powered production features is a bonus.
- Hands-on experience with observability tooling such as OpenTelemetry is a bonus.
Benefits
- Fully distributed and remote work arrangement.
- CAD $218,891–$245,946 base salary based on experience level.
- Generous equity and employee-friendly stock program.
- Unlimited paid time off.
- Home office, co-working, and internet stipend.
- Full employee benefits coverage with additional dependent coverage available.
- Up to 16 weeks of paid parental leave.
- Annual development allowance.
Tech Stack
Categories
About Honeycomb.io
Honeycomb.io builds a SaaS observability platform for software engineering, SRE, and DevOps teams to debug and operate distributed systems using tracing, event data, and high-cardinality queries. Its product integrates with OpenTelemetry and supports SLOs, instrumentation, and production debugging workflows. Founded in 2016 and headquartered in San Francisco, the company is privately held and counts customers such as Slack, HelloFresh, LaunchDarkly, and Vanguard.