Applied AI Engineer, Agent Systems

The Electric Plant Co. is building plant and tree intelligence using IoT hardware, environmental data, and an AI foundation model. The Senior Applied AI Engineer will build the application layer connecting the model to users, including retrieval, agent systems, insight pipelines, policy execution, and evaluation tooling, first in the field and then as reusable deployment protocols.

Responsibilities:

• Client context layer and retrieval. Built and measured, not just assumed to work
• The tool schema exposing our platform's data and insights, including uncertainty in the return payload
• The product's agent systems — skill and instruction files as versioned, testable, reviewable artifacts, and the scheduled/event-driven work built on them, durable, idempotent, and observable
• One insight pipeline rendering to chat, email, PDF, and API
• The context schema and card structure that make Platform's multi-tenant isolation and client IP protections possible — including how clients' data and the insights engineered from it are protected
• Actuation. When the system carries a client-set policy into their systems — an irrigation setpoint, a crew instruction - you own making sure it executes reliably every time: safe to re-run, fully trackable, and only after the approvals and deployment steps the client has set up
• Eval suites, trace capture, drift monitoring, and per-client cost accounting