Member Technical Staff - Applied AI Engineer

Member of Technical Staff – Applied AI Engineering

What you'll build

• Agentic workflows that take over support functions: intake, classification, context gathering, reproduction, diagnosis, response drafting, remediation, verification, and follow-up.
• Tool-using agents that safely inspect runs, logs, auth state, configuration, and provider behavior, then propose or execute bounded recovery actions.
• Eval suites for diagnostic correctness, resolution quality, safe escalation, customer communication, and end-to-end task completion.
• Human-in-the-loop systems that make ownership, uncertainty, approvals, handoffs, and failure states explicit.
• The observability, memory, and feedback loops that let these agents improve from real support cases without repeating mistakes.
• Product improvements that remove entire classes of customer issues instead of handling the same symptoms faster.

How you'll work

• Start with the customer outcome, then work backward into the model, workflow, tooling, or product change required to deliver it.
• Own the hardest issues end to end when direct engineering is needed: reproduce, isolate, mitigate, ship, communicate, and verify the resolution with the customer.
• Sit with customers and partner with Support, FDE, Product, and Engineering to find work that should become software.
• Move from a rough prototype to a reliable production workflow, with traces, evals, guardrails, and a clear human fallback.
• Use frontier models, coding agents, and internal AI tools every day to multiply your own engineering output.
• Measure success in customer outcomes improved, support work removed, and classes of failure prevented.