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AI Engineer, Internal Systems

Build verification and evaluation layers for AI agents at a startup focused on voice interfaces.

Location
San Francisco, United States
Compensation
Not disclosed
Level
Not specified
Type
full time

Posted by employer 1 day ago

First seen on Joblaze 51 minutes ago

Last verified on the company career page 51 minutes ago

Apply at Wispr Flow → Save job Scanned from wisprflow.ai

Skills & Technologies

What you'll build

  • Build end-to-end verification loops
  • Create fast, reliable testing environments
  • Improve context, instructions, skills, and memory delivery
  • Operate the agent fleet as a production system

Nice to have

  • Prior experience in voice, model training, or product domains

AI in the day-to-day

Our agents already write code and respond to incidents around the clock.

Requirements

Visa
Sponsorship available

Not disclosed in this posting: compensation, seniority, years of experience, work arrangement.

Joblaze summary

In this role, the AI Engineer focuses on developing verification loops that enable agents to autonomously determine task completion. Key skills include building testing environments and creating evaluation signals from failures and feedback, with a strong emphasis on empirical analysis. This position is ideal for someone with experience in internal tools and a hands-on approach to coding and infrastructure, though prior knowledge of voice technology is not mandatory. Wispr Flow is a Series B company dedicated to advancing human-computer interaction through innovative AI solutions.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML.
Does Wispr Flow sponsor work visas for this role?
Yes — the posting indicates visa sponsorship is available for the right candidate.
Is this full-time or contract?
Full-time for this AI Engineer, Internal Systems role at Wispr Flow.

From the original posting

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

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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