#EG AI Product Engineer

As an AI Product Engineer, you will design and develop the systems that let AI perceive, reason about, and act in physical space — turning buildings into intelligent, responsive environments for robots and people.
What You'll Do
Join an AI product team with the mission to create a living lab for physical AI.
Architect the AI-driven stack end to end, and build with AI-native tools and workflows.
Translate customer vision and challenges into technical requirements and innovate on solutioning.
Develop prototypes and proofs of concept.
Engage users and clients across the product lifecycle.
Design spatial intelligence systems: turn sensor, vision, and IoT data into a live, structured understanding of physical space — occupancy, object/asset location, environmental state, and spatial relationships between people, rooms, and equipment.
Develop and integrate physical AI / robotics systems: perception (vision, sensor fusion), planning, and control for robots and autonomous agents operating in real workplace environments — working with existing robotics stacks (e.g., ROS/ROS2) rather than building from scratch where possible.
What You'll Own
Driving an active, high-velocity living lab for physical AI.
Prototypes and roadmap — from 6-week sprints to 24-month bets.
Demos and POCs to showcase, test, and gather feedback for iteration.
POVs and approach for adapting and applying physical AI across the living lab.
What We're Looking For
We're looking for someone AI-native — who reaches for a model, an agent, or a learned system as the default design tool.
AI-native by default — you reach for models, agents, and learned systems as your primary design tool.
Demonstrated experience architecting AI-driven systems.
Exposure to physical/spatial AI or robotics — perception, SLAM/mapping, sensor fusion, robot planning/control, or spatial computing such as Gaussian splatting.
Experience building evaluation frameworks/harnesses for AI systems.
Strong engineering fundamentals as the supporting layer — Python, C++, or similar; APIs; data pipelines; comfort with robotics tooling (e.g., ROS/ROS2).
Operates independently within a small squad.
A practitioner of the product mindset.
A solid team player with a sense of adventure.

Employment type
Full-time

Work arrangement
No