Staff AI Product Engineer – Full-Stack, End-to-End

Fdetimes

San Francisco (CA)

Presencial

USD 120.000 - 180.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Descripción de la vacante

Perplexity is seeking an enthusiastic software engineer to own a user-facing surface end to end, from UI through APIs and data models, including AI-driven components. You’ll ship to production rapidly, collaborating with designers, PMs, and researchers to move fast while maintaining quality.

We value hands-on production experience, comfort with ambiguity, and a track record of building real software. Expect fast learning and broad ownership in a dynamic team.

Formación

  • 1+ years of professional software engineering experience or strong internship with shipped production code.
  • Strong in at least one backend language (Python or Go) with experience across services, APIs, and relational data modeling.
  • Comfort with React and TypeScript on the frontend.
  • Hands-on experience building production software or open-source projects.

Responsabilidades

  • Own a user-facing surface end to end across frontend, APIs, data models, and model calls.
  • Ship to production continuously with early exposure to users.
  • Build with AI as a primary tool and evaluate outputs for correctness.
  • Turn ambiguous ideas into prototypes and iterate using usage data.
  • Raise reliability, latency, and craftsmanship on owned surfaces.

Conocimientos

Backend languages
React
TypeScript
Python/Go
APIs/Datamodeling
Ambiguity tolerance
AI product exposure

Herramientas

React/Next.js
Python
Go
PostgreSQL
Redis
Docker
AWS

Descripción del empleo

Perplexity is seeking an enthusiastic software engineer to own a user-facing surface end to end, from UI through APIs and data models, including AI-driven components. You’ll ship to production rapidly, collaborating with designers, PMs, and researchers to move fast while maintaining quality.

We value hands-on production experience, comfort with ambiguity, and a track record of building real software. Expect fast learning and broad ownership in a dynamic team.

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