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Full Stack Engineer

Aqua Voice - San Francisco | OnSite | New York City

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Onsite From the posting source checked Jun 20, 2026
In-office days
5 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

Full Stack Engineer San Francisco | OnSite | New York City ABOUT US Aqua Voice is building the voice input layer for the age of AI. We train our own models and build deep OS integrations because doing voice well requires controlling the entire stack. The way people work is changing. IC work is over; you manage AI agents now. This type of work is wonderfully suited for voice. We aren't building conversational agents. We believe the most natural way to interact with your computer is voice in text out (VITO). We believe that voice belongs at a level above the application, and that a small company can win by pushing the envelope. We are applying relentless energy to this opportunity and the results so far have been good. We hope you will join us. THE ROLE We're a small team and growing. You'll touch every part of the system. Recent projects include: - Real-time transcription server handling thousands of concurrent audio streams - Custom speech recognition model training and deployment - Native macOS and Windows integrations using deep system APIs STACK - Frontend: TypeScript, React, Next.js, Electron - Backend: Python, real-time server (Bun/Node.js), WebSockets - Native: Swift (macOS), C# (Windows) - ML: Custom speech recognition models, inference pipelines - Infra: Terraform, Stripe You don't need experience with all of this. WHAT WE'RE LOOKING FOR - Show us what you've built - Comfortable switching between languages and domains - Can own projects from idea to production - Writes readable, maintainable

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