Applied AI Engineer, Agents & Automations

Job summary

Responsibilities

Example problems you might work on include helping users build AI automations from natural language, creating evals for multi-step agent workflows, adding proactive intelligence inside the product, or creating interfaces that make agent behavior easier to inspect, steer, and trust.

• Build AI-powered product experiences that help users create, configure, evaluate, and improve workflows across North.
• Design and ship new interfaces for interacting with models, including workflow builders, proactive assistants, review flows, and other human-AI collaboration patterns.
• Build eval, observability, and feedback systems that measure whether AI experiences succeed in real enterprise workflows.
• Improve AI reliability through product design, prompting, context construction, tool-use strategies, instrumentation, and feedback loops.
• Turn production failures, user feedback, and real-task data into better product behavior, stronger eval suites, regression tests, and signals for modelling.