Member Technical Staff - Applied AI Engineer (US Timing)
Core
Build agentic workflows and tool-using agents to automate customer support functions (intake, diagnosis, remediation) and improve product capabilities.
Role type
Applied AI Engineer (Customer-facing)
Builds
Agentic workflows, tool-using agents, eval suites, human-in-the-loop systems, and observability infrastructure for support automation.
Domain
AI Agents, Customer Support Automation, Backend Systems
Deliverable
production ML models
Required skills
Language models, tool calling, retrieval, structured outputs, multi-step workflows, agent memory, backend engineering, debugging SDKs/HTTP/OAuth/webhooks, root cause analysis, system design
Preferred skills
TypeScript, Python, AI agents, workflow automation, eval infrastructure, developer platforms, OAuth 2.0, Postgres, cloud observability, support systems (Zendesk, Salesforce)
Responsibilities
Design agentic systems for support tasks, debug and ship fixes for complex issues, partner with support/product to identify automation opportunities, build eval suites and guardrails, iterate on production workflows based on real-world feedback.
Seniority
Mid-level (2–4 years experience), hands-on IC