AI Product Engineer (Observability)
Мэтч & Сопровод
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Описание вакансии
TL;DR
AI Product Engineer (Observability): Building agentic capabilities for an open-source observability platform with an accent on developer experience and automated incident investigation. Focus on designing reusable skills, MCP servers, and solving production challenges like latency and hallucinations on petabyte-scale telemetry.
Location: Remote (Must be based in the United States)
Salary: $130,000 - $230,000 USD
Company
is a fast-growing private cloud company leading the market in real-time analytics, data warehousing, and AI workloads.
What you will do
- Build agents that investigate production incidents, surface anomalies, and answer root-cause questions.
- Develop a library of reusable skills that capture debugging playbooks and query patterns.
- Own the end-to-end agent stack, including context engineering, tool design, evals, and tracing.
- Create MCP servers, SDKs, and integrations to enable AI workloads to interact with telemetry.
- Collaborate with OSS contributors and customers to debug issues and iterate on the product.
- Optimize system performance regarding latency, cost, and context window limits.
Requirements
- Must be based in the United States
- 5+ years of software engineering experience.
- 1–2 years of experience deploying LLM-powered systems or agents in production.
- Strong backend proficiency in TypeScript/Node.js and/or Python.
- Hands-on experience with multi-step tool use, planning, memory, and error recovery for agents.
- Experience with MCP (Model Context Protocol) and strong evals practice (golden sets, LLM-as-judge).
- SQL proficiency for writing queries and comfort with Docker and Kubernetes.
Nice to have
- Experience building production agents for observability, incident response, or SRE.
- Knowledge of prompt caching and context compaction techniques.
- Experience with columnar databases and event ingestion pipelines.
- Contributions to open-source AI or agent projects.
- Familiarity with Go, Rust, or other systems languages.
Culture & Benefits
- Globally distributed, remote-friendly work environment.
- Equity in the company through stock options for all new hires.
- Employer contributions toward healthcare.
- Flexible time off policy.
- $500 home office setup budget for remote employees.
- Opportunities for in-person connection via company-wide offsites.
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