AI Product Engineer - ClickStack
Core
Building agentic capabilities and developer tools for a petabyte-scale observability platform to automate incident investigation and root cause analysis.
Role type
Senior AI Product Engineer (Agentic Systems)
Builds
Agentic systems, reusable skills libraries, MCP servers, SDKs, and integrations for the ClickStack observability platform.
Domain
Real-time analytics, data warehousing, observability, and AI workloads.
Deliverable
production ML models | product features
Required skills
Agent development (multi-step tool use, planning, memory, error recovery), Context engineering, Tool design, Skill design (Markdown-based workflows), MCP server development, Evaluation practices (golden sets, LLM-as-judge), SQL (ClickHouse), Backend engineering (TypeScript/Node.js, Python), Docker, Kubernetes.
Preferred skills
Production agent experience in observability/SRE, Agent observability (tracing, cost attribution), Prompt caching, Context compaction, Columnar databases, Event ingestion pipelines, Systems languages (Go, Rust).
Responsibilities
Build agents that investigate incidents and surface anomalies; Write reusable skills for debugging and incident response; Own the agent stack end-to-end including context engineering and evals; Build MCP servers and SDKs for customer agent integrations; Collaborate with OSS contributors and customers; Tackle production challenges like latency, cost, and hallucinations.
Seniority
Senior, hands-on IC