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AI Engineer, Internal Systems

ABOUT WISPR

Job Remote Full source details
Wispr Flow San Francisco, San Francisco, Remote (US) Source published Sep 12, 2026 Verified 5 hours ago
✓ 100% verification score · Source: Wispr Flow (ashby) · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentFull-time
Work modeRemote / location-flexible

Overview

ABOUT WISPR

Full job description

ABOUT WISPR Wispr is an AI research and product company building the voice interface for computing. AI can now reason, code, and act. Yet, humans still do the work of the interface. We think that’s backwards. https://wisprflow.ai/post/the-master-plan Our first products are Flow, which lets you speak naturally in any application, and Notetaker, which builds context across conversations. We’re building toward an interface that can perceive, understand, and take action with earned trust. That means solving hard problems across models, systems, and product - and caring about the final human experience as deeply as the technology underneath it. We’re a talent-dense team that holds strong opinions, tests them quickly, and builds technology that sparks joy. Our goal is to build the first voice interface used every day by a billion people. ABOUT THE ROLE Our agents already write code and respond to incidents around the clock, but they can't yet tell when they're done, so every loop still ends with a human checking. You'd be the first to build the verification and evaluation layer that lets them finish with confidence. WHAT YOU'LL DO

  • Build end-to-end verification loops that let agents determine when their work is actually 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 makes them perform better
  • Operate the agent fleet as a production system and measure its quality, adoption, and impact YOU MAY BE A FIT IF
  • You've built internal tools that other engineers adopted, and you can explain how you measured their impact
  • You use agentic coding tools deeply and have specific opinions about where they succeed and fail
  • You've built evaluation or verification infrastructure such as test harnesses, CI systems, eval pipelines, or benchmarks
  • You can work hands-on across application code, infrastructure, and unfamiliar systems
  • You are empirical about your own work, attentive to subtle failure modes, and comfortable owning ambiguous problems Prior experience in voice, model training, or our product domains is not required. GET TO KNOW US
  • Our Series B https://wisprflow.ai/post/series-b
  • Advancing HCI https://wisprflow.ai/post/advancing-hci
  • Introducing Wispr Advanced Interfaces Lab https://wisprflow.ai/post/wispr-labs
  • Technical challenges behind Flow https://wisprflow.ai/post/technical-challenges LOGISTICS We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We can't guarantee sponsorship for every role, but if we make you an offer we'll make every reasonable effort, with help from our immigration law firm. We strongly encourage you to apply even if you don't meet every qualification. The strongest candidates we meet rarely do, so don't exclude yourself prematurely. We're rethinking how humans interact with AI, and doing that well demands diversity of perspective and experience. We're committed to a fair and accessible interview process. If you need any accommodations or adjustments, please let us know.

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