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Wispr AI

Wearable neural interfaces for hands-free computing.

AI Engineer - Internal Systems

AI Application EngineeringConfirmed live in the last 24 hours
Full-time$220k - $350k /yrIn-person

About the Job

Requirements

  • Experience building internal tools adopted by other engineers and explaining how their impact was measured.
  • Deep use of agentic coding tools and specific opinions about where they succeed and fail.
  • Experience building evaluation or verification infrastructure, such as test harnesses, continuous integration systems, evaluation pipelines, or benchmarks.
  • Ability to work hands-on across application code, infrastructure, and unfamiliar systems.
  • Empirical approach to work, attention to subtle failure modes, and comfort owning ambiguous problems.

Responsibilities

  • Build end-to-end verification loops that let agents determine when their work is complete.
  • Create fast, reliable testing environments and turn failures and human feedback into durable evaluation signals.
  • Improve how context, instructions, skills, and memory are delivered to agents, and measure what improves their performance.
  • Operate the agent fleet as a production system and measure its quality, adoption, and impact.

About the Company

Wispr AI

Wearable neural interfaces for hands-free computing.

Wispr Flow designs wearable neural interfaces to control devices and access information through thought, rather than screens or manual inputs. The core product is a wearable device that detects neural signals and uses AI to translate them into actionable commands, enabling hands-free interaction with digital systems. Unlike many tech products that rely on screens or voice input, Wispr Flow aims for natural, thought-based control that can be used across consumer electronics and professional settings. The company differentiates itself by targeting everyday consumers with a brain–computer interface approach, exploring software subscriptions and partnerships to extend functionality, and potentially licensing its neural interface technology to others. Its goal is to make information access and device control feel effortless through mind-driven interactions, with applications in fields such as healthcare, logistics, and manufacturing where quick, hands-free operation matters.

Company size
51-200
Company stage
Series A
Total funding
$81.6M
Headquarters
South San Francisco, CA
Founded
2021

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