Senior AI Platform Engineer

8+ years in software, platform, infrastructure, or adjacent engineering roles.

Hands-on experience building agentic AI systems: LLM-powered workflows, tool-calling agents, evaluation loops, or autonomous execution — using frameworks like the Claude SDK, Google Agent Development Kit (ADK), LangGraph, or similar.

Not classical ML or data pipelines.

Direct experience with GCP.

We run on Google Cloud and you should be comfortable there.

Strong experience with APIs, auth, OAuth, secrets, CLI tooling, and deployment patterns.

Alpaca is building an AI Enablement function to move the company from scattered AI experimentation to durable, company-wide productivity gains.

As Senior AI Platform Engineer, you will own the technical capability layer that makes that possible.

You will build and maintain the platform infrastructure, connectors, execution patterns, and self-service tooling that lets engineering and business teams use AI safely at scale by turning one-off setups and ad hoc tooling into reusable infrastructure, secure deployment standards, and productized onboarding.

This role requires hands-on experience building with agentic AI systems.

This is not classical ML pipelines, but the emerging stack of LLM-powered agents, tool use, evaluation loops, and autonomous workflow execution.

You should know this space well enough to make opinionated decisions about execution patterns, isolation boundaries, and what "safe and reliable" actually means for agents with real tool access.