AI Product Engineer

About this role

Imagine having the power to stress-test an entire power grid against a hurricane or thunderstorm before the clouds even gather. That is the reality we are creating at Neara. We use advanced machine learning to create engineering-grade, physics enabled digital twins of electricity grids across four continents, this helps asset owners understand their biggest challenges and bring the most viable solutions to life across millions of kilometres of infrastructure.

By simulating extreme weather and structural stress at a network-wide scale, we empower the world’s largest utilities to pinpoint risks, optimise investments and build a more resilient global energy future. Our team is a collection of brilliant minds who are fanatical about making a tangible difference in the real world, utilising AI and machine learning to accelerate everything from data classification to complex scenario analysis.

We have built a special culture where innovation thrives because everyone owns the mission and we need smart, creative people to help us scale this impact to every corner of the globe. ABOUT THE ROLE Utilities come to Neara with questions that used to take months of engineering work to answer. Which of our poles can safely stay in service? Where will vegetation contact the line in the next storm season? What happens to this circuit if we add 200MW of solar? Today, getting to those answers means knowing your way around a deep, powerful platform.

We are building a layer of AI-powered features on top of that platform so that far more people can get to those answers, far faster — and so that the answer comes back grounded, traceable, and defensible to an engineer who has to sign their name against it. This is a new team. As one of our first AI Product Engineers you will be shipping LLM and agentic features into a product that utilities use to make decisions about critical infrastructure, and helping set how we build with AI across engineering: our evaluation discipline, our guardrails, and our judgement about what these systems should and should not be allowed to do.

To be clear about what this role is not: our Digitisation and ML Platform groups already build and run the computer vision and machine learning that turns lidar and imagery into a digital twin. You will work closely with them, but you are not doing that. Your job is the product layer — LLMs, agents, retrieval and tool use, grounded in the twin, the physics engine, and the network data our customers already trust. WHAT YOU WILL DO - Design, prototype and ship AI-powered features end to end — from a problem raised by a utility engineer through to something running in production and being used.