
AI Product Engineer
Posted Oct 31

Posted Oct 31
This is a fully remote position, open to applicants in United Kingdom, +4 more countries.
β’ Develop agents that investigate incidents, identify anomalies, determine the reasons behind production issues, and utilize ClickStack as their foundation.
β’ Create a reusable library of skills that encompass debugging, root-cause analysis, ClickHouse querying, and workflows for incident response.
β’ Manage the agent stack comprehensively, covering context engineering, tool design, evaluations, tracing, and cost management.
β’ Construct MCP servers, SDKs, and integrations that empower customer agents to access telemetry, take actions, and maintain observability.
β’ Collaborate with open-source contributors and customers, troubleshoot their issues, and incorporate insights back into the product.
β’ Tackle challenges related to latency, costs, context-window limitations, evaluation coverage, and hallucinations in real telemetry.
β’ Influence the culture of a rapidly growing startup.
β’ Over 5 years of experience in software engineering.
β’ 1β2 years of experience working with LLM-powered systems or agents in a production environment.
β’ Proficient backend skills in TypeScript/Node.js and/or Python; comfortable working with both.
β’ Practical experience in building and deploying agents with multi-step tool utilization, planning, memory management, and error recovery.
β’ Skilled in designing capabilities using Markdown-based workflow encodings, Anthropic-style methodologies, or comparable techniques.
β’ Familiarity with MCP, including server construction, tool design, and managing authentication, scoping, and observability.
β’ Strong evaluation practices, including golden sets, LLM-as-judge, and regression detection methodologies.
β’ Proficient in SQL, with the ability to write ClickHouse queries directly.
β’ Comfortable using Docker and Kubernetes.
β’ Active engagement in open source and the developer community.
β’ Bonus: experience with production agents in observability, incident response, or Site Reliability Engineering (SRE).
β’ Bonus: experience in agent observability, including tracing, cost attribution, evaluation pipelines, or OpenTelemetry.
β’ Bonus: knowledge in prompt caching, context compaction, or similar techniques for production agents.
β’ Bonus: familiarity with columnar databases and event ingestion pipelines.
β’ Bonus: contributions to or maintenance of an open-source AI/agent project.
β’ Bonus: knowledge of Go, Rust, or other system languages for integrations and high-throughput infrastructure.
β’ Employer contributions towards healthcare.
β’ Stock options available for every new team member.
β’ Flexible time off in the United States.
β’ Generous time-off policies in other countries.
β’ USD$500 allowance for home office setup for remote employees.
β’ Opportunities for engagement with colleagues during company-wide offsites.
β’ Flexible work environment.
β’ Remote-friendly work arrangements.
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