Full-Stack Software Engineer (AI-Powered Recruiting Platforms)

Full-Stack Software Engineer (AI-Powered Recruiting Platforms)

Job ID: 69512-1

Location: Fully Remote - US Only (ET or PT working hours)

Duration: 3-month contract with probable extension/conversion

Target Start: April 3, 2026

Pay Rate: $85/hr on W2

Benefits: Medical, Dental, Vision, PTO/Sick Leave

Our client is seeking a skilled Software Engineer to join the Interview Experience team within Recruiting Products, part of the larger People Products pillar under Enterprise Engineering. You will contribute to hiring infrastructure that supports 463,000 interviews annually. You will work with cutting-edge AI technologies and collaborate closely with cross-functional partners to shepherd products through the entire development lifecycle, from ideation to launch, directly impacting how top talent is discovered and hired globally.

Job Responsibilities:

• Develop and enhance AI-powered interviewing tools and automation systems that optimize 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

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• 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 engineering best practices and participate in code reviews
• Debug and resolve technical issues across the interview experience stack to maintain system reliability

Qualifications

• 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
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Must-Have Skills:

• Full-Stack Software Development
• Codex/Claude/Cursor + LLM-Assisted Code Development

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• Troubleshooting, Debugging, and Testing Own Software

Nice to Have Qualifications:

• 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
• Experience with frameworks and development 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

Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.