Senior Software Engineer II - Agentic Intelligence

honeycomb.io
United States
Workplace: RemoteFull timeUSD 183,340 - 206,000Function: Software EngineeringSkills: ["End-to-end ownership","Product judgment","Current judgment","Trustworthiness in high-pressure situations","Agent system design"]

Build production-grade AI agents that investigate, reason, and act on live observability data inside Canvas. You’ll own agent and related full-stack development end-to-end, including evals to measure improvements, and extend Canvas capabilities such as memory and spatial awareness. Using Honeycomb’s fast, high-cardinality data store, you’ll ship agent experiences that outperform conventional observability backends and define what “good” means for agents via real evals.

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FursaFursa
honeycomb.io
honeycomb.io
1 month ago

Senior Software Engineer II - Agentic Intelligence

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build production-grade AI agents that investigate, reason, and act on live observability data inside Canvas. You’ll own agent and related full-stack development end-to-end, including evals to measure improvements, and extend Canvas capabilities such as memory and spatial awareness. Using Honeycomb’s fast, high-cardinality data store, you’ll ship agent experiences that outperform conventional observability backends and define what “good” means for agents via real evals.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design and deliver production-grade agents that investigate, reason, and act on live observability data in Canvas, including during mid-incident situations.
  • •Scope, build, ship, and maintain agents and evals to determine whether agents improve or change in meaningful ways.
  • •Leverage Honeycomb’s high-cardinality data store to build agents capable of cross-service correlation, trace drilling, and before/after deploy comparisons.
  • •Extend Canvas surface area, Canvas MCP server, and Canvas Skills (memory and spatial awareness), including improving Bedrock loop performance.
  • •Define “good” for agents using measurable real evals while keeping solutions maintainable and honest about limitations.

Pay and Benefits

Salary: USD 183,340 - 206,000
Perks:EquityPaid LeaveParental LeaveInternet StipendHome Office

Key Requirements

  • •Ship LLM-based systems relied on in production, not demos, and know where agent systems fail and how to design around it.
  • •Demonstrate end-to-end ownership: take prototypes to production-grade without handoff queues.
  • •Bring current judgment on how agent design has shifted over the last 6–12 months and how that changes how you’d build today.
  • •Apply agent architecture depth, including how fast, high-cardinality data stores change what agents can reason about.
  • •Show product judgment by identifying what the agent layer should do next and backing it with working prototypes.
Skills:End-to-end ownershipProduct judgmentCurrent judgmentTrustworthiness in high-pressure situationsAgent system design
Languages:English
Tech Stack:AI agentsLLMsRAGPrompt engineeringEval frameworksMCP serverBedrock loopCanvasObservabilityHigh-cardinality dataKubernetes

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

honeycomb.io
Provides a cloud-based observability platform that helps engineering teams debug, explore, and understand production systems by ingesting high-cardinality event data for fast querying and real-time analysis.
Industry: Developer Tools
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn