AI Engineer, Internal Systems

Wispr Flow; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

You will optimize how context, instructions, skills, and memory are delivered to agents and operate a fleet of agents as a production system, measuring quality, adoption, and impact across applications.

Qualifications

• Experience building internal tools adopted by engineers.
• Experience with evaluation or verification infrastructure (test harnesses, CI pipelines).
• Ability to work across application code, infrastructure, and unfamiliar systems.
• Empirical approach and comfort with ambiguity.

Responsibilities

• Build end-to-end verification loops for completion checks.
• Create testing environments and convert failures into evaluation signals.
• Improve delivery of context, instructions, and memory to agents.
• Operate agent fleet as production system and measure quality.

Skills

Internal tools

CI systems

Eval pipelines

Testing frameworks

Tools

Python

CI/CD

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.

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

• Advancing HCI

• Introducing Wispr Advanced Interfaces Lab

• Technical challenges behind Flow

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.