AI Engineer, Internal Systems
Build verification and evaluation layers for AI agents at a startup focused on voice interfaces.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 20 hours ago
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
- Listed about a month ago — first seen on Joblaze September 13, 2026. Last confirmed on Wispr Flow's careers page October 31, 2026.
- AI/ML appears in 45.4% of 1805 comparable ai/ml roles in United States.
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 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
Standard company text repeated across Wispr Flow's postings is omitted here.
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