Applied AI Engineer
Sable
Applied AI Engineer
Sable
AI employee enabling real-time customer interactions
Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.
You translate what makes a good performance into clear, defensible signals, and use those signals to improve Aidan. Role involves carrying out evaluations of agents on a broad range of areas on the frontier including voice, vision, and browser use, and using the findings to optimize the agent, context, and models.
Design evaluations for voice, vision, and browser use to direct and accelerate improvements in the agent, context, and models
Build and maintain our internal benchmarks and simulations
Work on systems to score customer-specific scenarios and identify gaps in current capabilities.
Engineer with statistics and/or applied machine learning experience
Comfortable in a production codebase
Bonus: prior experience with evaluations or with voice, realtime, or browser use/computer use agents.
Sable builds Aidan, an AI employee that handles personalized customer interactions using real-time voice, computer vision, and the ability to navigate a live product interface. Aidan operates inside a business workflow by watching the screen, understanding user actions, speaking and listening in real time, and guiding customers through demos, onboarding, or training without heavy setup. It can be deployed with minimal initial integrations and includes enterprise security and data-handling controls. The goal is to automate and scale personalized customer interactions so product demonstrations, onboarding, and support are faster, clearer, and consistent across customers.
Explore more opportunities at Sable