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Software Engineer, AI Observability at Honeycomb - ApplyBlast

Software Engineer, AI Observability

Honeycomb

6 days ago

Remote

Full Time

Senior

0 applicants

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About this role

This role involves owning the end-to-end development of AI observability capabilities, from data ingestion to in-product visualizations, within a fully distributed team. The position focuses on architecting data models and infrastructure to monitor AI agents, analyzing specific signals like cost and errors, and collaborating with product and design partners to deliver intuitive user workflows. The ideal candidate will have significant full-stack engineering experience and a track record of shipping customer-facing features at a SaaS company.

Responsibilities

Own end-to-end development of AI observability capabilities
Architect and evolve the data model and infrastructure
Build systems that analyze and surface AI-specific signals

Skills

About Honeycomb

honeycomb.io

Headquarters

San Francisco, California, United States

Company Size

51-200 employees

Founded

2016

View Profile

Honeycomb is an observability platform for distributed services that gives engineering teams the context, speed, and scale they need to build and run cloud‑native and AI‑era software. It ingests high‑cardinality traces, metrics, and event data and exposes fast ad‑hoc querying, visualization, and debugging tools to accelerate root‑cause analysis and reduce MTTR. Honeycomb is available as a hosted service and private‑cloud option and includes capabilities like revamped metrics and Canvas for building dashboards and investigative workflows, aimed at SREs and developers working with microservices, serverless, and complex distributed systems.