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Mercor

Automates candidate screening and matching

Software Engineer - Enterprise Applied AI

AI Application EngineeringUpdated on Nov 11
Full-time$145k - $285k /yr

About the Job

Requirements

  • A Computer Science background or a degree in a related field, such as Electronics Engineering, Physics, Mathematics, or Statistics.
  • Strong software engineering fundamentals in at least one modern programming language, such as Python, Go, or Rust.
  • Experience building and deploying production systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure.
  • Comfort working directly with customers and explaining technical concepts to non-technical stakeholders.
  • Ability to navigate ambiguity and operate autonomously in high-stakes environments.

Responsibilities

  • Embed with enterprise customers to understand technical requirements and business goals.
  • Architect and implement custom integrations, application programming interfaces, and workflows on the Mercor platform.
  • Deploy scalable solutions in client environments and drive successful launches and expansions.
  • Build internal tools and reusable components that accelerate future deployments.
  • Translate ambiguous enterprise needs into clear technical plans and shipped systems.

About the Company

Mercor

Automates candidate screening and matching

Mercor provides an AI-driven recruitment platform that automates key parts of hiring for both job seekers and employers. Job seekers upload their CVs and complete a 20-minute AI-led video interview, after which a proprietary language model generates detailed candidate profiles; employers receive automated resume screening, candidate matching, and initial interviews, with tailored AI interviews for specialized roles. The system uses a company-trained model to rank and recommend candidates by qualifications and predicted performance, and operates on a finder’s-fee revenue model with large-scale usage across software, operations, design, and other fields, including AI labs. Its goal is to speed up hiring while reducing bias and delivering better job-to-citizen matches.

Company size
201-500
Company stage
Series D
Total funding
$1.2B
Headquarters
Menlo Park, CA
Founded
2023

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