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Outset

AI-driven interview solution for candidate evaluation

Backend Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$160k - $300k /yrHybrid

About the Job

Requirements

  • At least 3 years of software engineering experience building production-grade backend systems.
  • Strong proficiency with Python and Django, including experience building robust application programming interfaces.
  • Extensive knowledge of SQL databases; Postgres is preferred.
  • Experience deploying and managing services on Amazon Web Services.

Responsibilities

  • Collaborate closely with the chief technology officer and chief executive officer on strategic technical decisions and product direction.
  • Design, develop, and optimize backend services, application programming interfaces, and real-time data-processing infrastructure.
  • Implement and refine the in-house large language model and real-time interview technology.
  • Lead projects from initial conception through production deployment, ensuring scalability and reliability.
  • Interface directly with users to gather feedback, understand pain points, and continuously improve the core product.

Desired Qualifications

  • Familiarity with WebRTC, real-time data streaming, or artificial intelligence and machine-learning infrastructure.

About the Company

Outset

AI-driven interview solution for candidate evaluation

Outset.ai provides an AI-powered interview platform for HR that helps businesses assess candidates more efficiently. Its core tool is an AI interviewer that conducts interviews, asks dynamic follow-up questions, and categorizes responses to reveal deeper insights about a candidate’s fit. The system works by running interviews, generating follow-up prompts as needed, and analyzing answers to produce structured data and scoring to guide hiring decisions. What sets Outset.ai apart is its focus on an automatically conducted, adaptive interview process and organized response analysis, enabling HR teams of all sizes to streamline recruitment and rely on data-driven results rather than manual screening alone. The company aims to reduce the time and resources spent on candidate evaluation while increasing the accuracy and speed of hiring decisions.

Company size
51-200
Company stage
Series B
Total funding
$52M
Headquarters
San Francisco, CA
Founded
2022

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