AI Engineer, Internal Systems

Our agents already write code and respond to incidents around the clock, but they cant yet tell when theyre done, so every loop still ends with a human checking. Youd be the first to build the verification and evaluation layer that lets them finish with confidence.

What youll 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

• Youve 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
• Youve 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
• Advancing HCI
• Introducing Wispr Advanced Interfaces Lab
• Technical challenges behind Flow

Logistics

We sponsor H1B, O1, EB1, L1, STEM OPT, and more. We cant guarantee sponsorship for every role, but if we make you an offer well make every reasonable effort, with help from our immigration law firm.

Artificial Intelligence (AI), Systems Engineering, Artificial Intelligence (AI), User Interface/Experience (UI/UX), Problem Solving Skills, Testing, Computer Programming, Incident Response, Memory Hardware, Production Systems

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.

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.