Technical Recruiter

About the Role

This role(Technical recruiter) requires a sourcing-first recruiter with deep expertise in identifying and hiring mid-level engineering talent across Software Engineering, Cloud, Data, and AI domains. The ideal candidate is AI-savvy, leverages modern recruiting technologies, and excels at building proactive talent pipelines for niche technical roles.

What You’ll Do

• Candidate Sourcing, Tracking & Experience: Drive proactive sourcing for Software Engineers (SE), Senior Software Engineers (Sr. SE), Full Stack Engineers, Backend Engineers, Frontend Engineers, Cloud Engineers, Data Engineers, DevOps Engineers, and other mid-level technology roles. Build strong passive talent pipelines through market mapping, talent intelligence, referrals, social sourcing, and AI-powered recruiting tools. Source and hire emerging AI talent including AI Engineers, Machine Learning Engineers, Generative AI Engineers, Data Scientists, and MLOps Engineers. Leverage GenAI and AI-enabled recruiting platforms to improve sourcing productivity, candidate engagement, and talent discovery. Maintain clean, disciplined pipelines with clear reporting and funnel visibility. Deliver a standout candidate experience through speed, clarity, and thoughtful communication.

• Candidate Assessment & Placement: Assess early-career and technical talent through structured interviews and assessment centres. Match candidate strengths and aspirations with business needs to ensure best-fit placement. Consolidate and present interview feedback into crisp, decision-ready summaries.

• Stakeholder Partnership & Advisory: Partner with Engineering Managers and Technical Leads to understand hiring priorities, technical competencies, and evolving skill requirements. Provide market intelligence on Software Engineering, AI, Cloud, and Data talent availability and competitive hiring trends.

• Hiring Manager Enablement: Guide stakeholders on delivering a consistent, high-quality candidate experience throughout the hiring process. Educate hiring managers on interviewing, diversity hiring, and candidate engagement best practices.

What You Bring

• Qualifications & Experience: Bachelor’s degree required; Master’s / MBA in HR or related fields preferred. 4–6 years of hands-on technical recruiting experience in Product Engineering, Digital Engineering, GCCs, or technology organizations. Demonstrated success hiring Software Engineers (SE), Senior Software Engineers (Sr. SE), Full Stack Engineers, Backend Engineers, Frontend Engineers, Cloud Engineers, DevOps Engineers, Data Engineers, and QA Automation Engineers. Exceptional sourcing expertise across Software Engineering, Product Engineering, AI/ML, Cloud, Data Engineering, and Digital technologies, with a proven ability to build high-quality passive talent pipelines. Hands-on experience hiring AI/ML talent including AI Engineers, Machine Learning Engineers, Generative AI Engineers, Data Scientists, and MLOps Engineers is highly preferred. Experience using AI-powered recruiting platforms and GenAI tools for sourcing, market mapping, candidate engagement, and recruiting automation. Ability to leverage AI for talent intelligence, market research, candidate outreach, and workflow optimization. Proven ability to manage multiple candidates and requisitions simultaneously. Strong track record of meeting or exceeding hiring metrics (quality, speed, diversity, experience). Excellent communication, stakeholder management, and organizational skills.

Key Skills

• Strong sourcing and pipeline-building expertise
• Consultative stakeholder management across business, HR, and global teams
• Candidate assessment and structured feedback management
• High attention to detail with strong data and reporting hygiene
• Customer-first mindset with a bias for action and accountability
• Ability to thrive in fast-moving, high-dependency environments

What Success Looks Like

• Technical Hiring Delivery & Closure
• Mid-Level Engineering Hiring Excellence
• AI & Emerging Technology Hiring
• Passive Talent Pipeline Development
• AI-Enabled Recruiting Adoption
• Sourcing Productivity & Pipeline Quality ratios
• Quality of Hire & Technical Fit
• Stakeholder & Hiring Manager Partnership
• Candidate Experience & Engagement
• Recruitment Analytics & Funnel Optimization