Technical Talent Sourcing Intern (AI & Software Engineering)

Technical Talent Sourcing Intern (AI & Software Engineering)

Location: Remote (Ahmedabad candidates preferred)
Duration: 6 Months Internship

About the Role

We are looking for a detail-oriented Technical Talent Sourcing Intern to help build high-quality talent pipelines for AI Engineers, Full Stack Developers, Backend Engineers, Frontend Developers, and other software engineering roles.

This is an excellent opportunity for someone interested in technical recruiting, talent intelligence, and modern sourcing strategies. You will learn how to identify top technical talent using industry-leading tools and create organized talent pools for future hiring needs.

Key Responsibilities

• Source technical candidates using LinkedIn Recruiter and other public platforms.

• Build location-specific and skill-specific talent pipelines.

• Research candidates from universities, GitHub, portfolios, hackathons, and other online communities.

• Maintain accurate candidate records in the CRM and Applicant Tracking System (ATS).

• Screen profiles and qualify or disqualify candidates based on predefined criteria.

• Create and maintain organized talent pools for future hiring.

• Keep candidate information up to date and ensure data accuracy.

• Work closely with the Talent Operations team to support ongoing hiring initiatives.

Required Skills

• Excellent attention to detail.

• Strong internet research skills.

• Good written communication.

• Ability to organize and manage data accurately.

• Comfortable learning new recruiting tools and technologies.

• Basic understanding of software development roles is a plus.

Tools You'll Gain Experience With

• LinkedIn Recruiter

• Applicant Tracking Systems (ATS)

• CRM Platforms

• Google Sheets / Excel

• AI-assisted sourcing tools

Who Should Apply

• Students or recent graduates interested in HR, Talent Acquisition, Technical Recruiting, Business, Computer Science, or Information Technology.

• Individuals who enjoy research, organization, and working with data.

• Candidates eager to learn how technology companies build world-class engineering teams.