About The Position

We are seeking a Full Stack Software Developer to join our team and contribute to the development of AI-powered interviewing tools and automation systems. This role involves creating intuitive user interfaces for recruiters, interviewers, and candidates using React, building and maintaining backend services for interview scheduling and AI transcription/summarization, and collaborating with AI/ML teams to integrate advanced AI technologies like GPT-4o. You will work closely with Product Managers, Designers, and Data Scientists to deliver end-to-end product experiences. Additionally, you will leverage AI-powered development tools to accelerate development velocity, expand interview transcription capabilities, and support autonomous scheduling improvements. The role requires writing clean, maintainable code, participating in code reviews, and debugging technical issues across the interview experience stack.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 4+ years of software engineering experience with object-oriented programming languages such as Java, C++, or C#
  • Experience with scripting languages including Python, PHP, or JavaScript
  • Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks
  • Experience collaborating with cross-functional teams in fast-paced, iterative development environments
  • Strong problem-solving skills and ability to work independently on complex technical challenges
  • Excellent communication skills and ability to work effectively in a team-oriented environment
  • Full-Stack Software Development
  • Java/ C++/ C#
  • Experience with scripting languages including Python, PHP, or JavaScript
  • Proficiency with frontend frameworks such as React, Vue, or similar modern JavaScript frameworks
  • Codex/Claude/Cursor + LLM-Assisted Code Development
  • Troubleshooting, Debugging, and Testing Own Software

Nice To Haves

  • Experience working with AI-powered development tools such as Cursor, Claude Code, Devmate, or similar AI coding assistants
  • Familiarity with GraphQL and modern API design patterns
  • Experience with React ecosystem including Relay for data fetching
  • Knowledge of AI/ML technologies and experience integrating language models (GPT-4o, Claude, etc.) into production applications
  • Experience building scalable web applications and distributed systems
  • Background in recruiting technology, HR systems, or enterprise productivity tools
  • Demonstrated experience shipping products through the complete development lifecycle from ideation to launch
  • Experience with interview scheduling systems, automation platforms, or workflow management tools
  • Knowledge of privacy-aware development practices and data handling for recruiting systems
  • Postgres, MySQL, or other Relational/NoSQL Database
  • Familiarity with testing frameworks (unit, integration + end-to-end)
  • System/Workflow Design (Product + Technical)

Responsibilities

  • Develop and enhance AI-powered interviewing tools and automation systems that optimize Client's hiring infrastructure
  • Implement frontend experiences using React and related frameworks to create intuitive user interfaces for recruiters, interviewers, and candidates
  • Build and maintain backend services supporting interview scheduling, AI transcription/summarization, and automation workflows
  • Collaborate with AI/ML teams to integrate GPT-4o and other AI technologies for interview feedback automation and quality improvements
  • Work with cross-functional partners including Product Managers, Designers, and Data Scientists to deliver end-to-end product experiences
  • Leverage AI-powered development tools including Cursor, Claude Code, and Devmate to accelerate development velocity
  • Contribute to the expansion of interview transcription capabilities and implementation of AI quality checker systems
  • Support autonomous scheduling improvements and candidate-driven experiences that reduce manual coordinator interventions
  • Write clean, maintainable code following Client's engineering best practices and participate in code reviews
  • Debug and resolve technical issues across the interview experience stack to maintain system reliability
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