AI Product Engineer

Posted Oct 31

This is a fully remote position, open to applicants in United Kingdom, +4 more countries.

πŸ“‹ Description

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.


⛳️ Requirements

β€’ Over 5 years of experience in software engineering.

β€’ 1–2 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.


🏝️ Benefits

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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