Wispr AI

Software Engineer, Backend

Wispr AI · San Francisco, CA
San Francisco, CA was $180K–$325K Closed
Applications are closed for this role. It was originally posted 2025-08-11. It’s no longer accepting applicants — see roles Wispr AI is still hiring for →, or browse the live openings below.
Salary
$180K–$325K
Type
Full-time

ABOUT WISPR

Wispr Flow is making it as effortless to interact with your devices as talking to a close friend.

Today, Wispr Flow is the first voice dictation platform people use more than their keyboards — because it understands you perfectly on the first try. It’s context-aware, personalized, and works anywhere you can type, on desktop or phone.

In 2026, in addition to dictation, we're focused on building native actions — an agentic framework that understands you, and works reliably.

We’re a team of AI researchers, designers, growth experts, and engineers rethinking human-computer interaction from the ground up. We value high-agency teammates who communicate openly, obsess over users, and sweat the details. We thrive on spirited debate, truth-seeking, and real-world impact.

We've grown our revenue +150% every quarter for the last 4 quarters, and have raised $81M from Tier 1 VC firms and other well-known angels.

ABOUT THE ROLE

As a Software Engineer, Backend, at Wispr, you’ll play a crucial role in building the first capable, habit forming voice interface that scales to a billion users. Members of our technical staff are responsible for prototyping and designing new features of our voice interface, building infrastructure to handle <500ms LLM inference for millions of requests from everywhere around the world, and scaling the personalization of our speech models and LLMs.

WHAT YOU'LL DO

  • Build and own core backend systems, APIs, data pipelines, and infrastructure that power Wispr's dictation and agentic features across desktop and mobile
  • Design for reliability, security, and scale, owning services end-to-end from initial architecture through production performance and incident response
  • Collaborate closely with ML engineers to integrate and ship model improvements into production, fast
  • Instrument systems for observability (logging, metrics, alerting) so we can understand how things are working and catch problems early
  • Use AI tools actively in your day-to-day work to move faster, write better code, and solve harder problems
  • Work directly with product and design to turn product goals into sound technical plans, flagging trade-offs and sequencing work thoughtfully
  • Raise the quality bar through code review, documentation, and engineering practices that the whole team benefits from

WHAT MAKES YOU A GREAT FIT

  • Strong backend fundamentals: you've built and shipped production services and have a solid grasp of APIs, databases, and distributed systems
  • Fluent in at least one backend language (ideally Python) and comfortable picking up new tools when the problem calls for it
  • Comfortable reasoning about security, from data handling and auth patterns to thinking about what could go wrong in a system you're building
  • You use AI coding tools fluently and have a point of view on how to get the most out of them
  • You care about both correctness and speed; you know when to move fast and when to slow down and get it right
  • Experience with real-time or low-latency systems is a plus, as Wispr processes audio on-device and in the cloud and we care a lot about performance
  • Bonus: experience with on-device or edge systems or building consumer-facing products at scale

We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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