IT Recruiter – AI & Emerging Technologies

Innodata Inc.; Philippines; On-site; PHP 500,000 - 900,000; Full time

Job summary

Innodata Inc. is seeking an experienced IT Recruiter specializing in AI and emerging technologies in the Philippines.

You will drive end-to-end recruitment for AI/ML, NLP, and software engineering roles, with emphasis on candidates who understand AI frameworks, data engineering, and related disciplines. The role requires strong sourcing capabilities, assessment of candidate fit for advanced tech projects, and collaboration with hiring managers to deliver talent quickly in a fast-evolving tech

Qualifications

• Bachelor's degree in a related field (HR, IT, CS, or Business).
• 3–4 years of IT/Technical Recruitment experience.
• Experience sourcing and recruiting software engineers, data professionals, AI/ML engineers, or similar talent.
• Strong knowledge of AI/ML concepts, Generative AI, LLMs, NLP, and related tech.

Responsibilities

• Manage end-to-end recruitment for AI/ML and software engineering roles.
• Source and recruit across AI/ML, NLP, Computer Vision, MLOps, and related tech disciplines.
• Partner with hiring managers to understand needs and craft targeted recruitment strategies.
• Conduct initial technical screening and maintain recruitment pipelines across markets.

Skills

Technical recruiting

Sourcing

Stakeholder management

Candidate assessment

Education

Bachelor's degree in HR/IT/CS/Business

Tools

LinkedIn Recruiter

Boolean search

X-ray search

AI sourcing tools

Job description

Location: Philippines

Experience Required: 3–4 years

Employment Type: Full-Time

Job Summary

We are looking for an experienced IT Recruiter specializing in AI and emerging technologies to support our growing technology and AI talent requirements. The ideal candidate will have strong experience in end-to-end technical recruitment, with a solid understanding of Artificial Intelligence (AI), Machine Learning (ML), Generative AI, Large Language Models (LLMs), software engineering, and related technologies.

The role requires strong technical sourcing capabilities, the ability to identify and assess candidates with specialized AI and technology skills, and experience partnering with hiring managers to deliver talent in a fast-paced, evolving technology environment.

Key Responsibilities

1. AI & Technical Recruitment

• Manage end-to-end recruitment for AI, ML, Generative AI, LLM, software engineering, and other specialized technology positions.
• Source and recruit professionals across AI/ML Engineering, Data Science, NLP, Computer Vision, LLM Development, MLOps, Data Engineering, and related technical disciplines.
• Develop a working understanding of emerging AI technologies, technical frameworks, tools, and programming languages to effectively evaluate candidate profiles.
• Partner with hiring managers and technical stakeholders to understand requirements, define candidate profiles, and develop targeted recruitment strategies.
• Conduct initial technical screening to assess candidates' relevant skills, project experience, technical exposure, and suitability for specific roles.
• Manage multiple specialized and high-priority recruitment requirements while ensuring timely delivery.

2. Technical Sourcing & Talent Pipeline Development

• Identify and engage AI and technology professionals through LinkedIn Recruiter, JobStreet, Indeed, professional networks, referrals, and other relevant sourcing channels.
• Utilize advanced Boolean searches, X-ray searches, and AI-powered sourcing tools to identify qualified candidates.
• Build and maintain talent pipelines for specialized and emerging AI technology roles.
• Conduct talent mapping and market research to identify relevant technical talent pools within the Philippines and other target markets.
• Proactively engage passive candidates, particularly those with specialized AI/ML and software engineering expertise.
• Explore technical communities, AI developer groups, university networks, and professional associations as alternative sourcing channels.

3. Stakeholder & Recruitment Management

• Collaborate with hiring managers and technical teams to understand evolving technology requirements and recruitment priorities.
• Provide market intelligence on talent availability, technical skills, compensation expectations, and sourcing challenges.
• Coordinate technical assessments, interviews, candidate evaluations, and offer negotiations.
• Maintain accurate recruitment data, candidate records, and pipeline updates.
• Ensure a positive candidate experience and timely communication throughout the recruitment process.

Qualifications & Requirements

Required Qualifications

• Bachelor's degree in Human Resources, Psychology, Information Technology, Computer Science, Business Administration, or a related field.
• 3–4 years of experience in IT/Technical Recruitment, preferably within technology companies, IT-BPM organizations, AI/ML companies, or technical recruitment agencies.
• Demonstrated experience sourcing and recruiting software engineers, data professionals, AI/ML engineers, or other specialized technology talent.
• Good working knowledge of AI and emerging technologies, including:
• Artificial Intelligence & Machine Learning: AI/ML concepts, supervised learning, deep learning, and model development.
• Generative AI & LLMs: Large Language Models, Generative AI applications, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Programming & Frameworks: Python, SQL, TensorFlow, and commonly used AI/ML development tools.
• Data & AI Engineering: Data Science, Data Engineering, NLP, Computer Vision, and MLOps.
• Cloud & AI Infrastructure: Basic understanding of AWS, Microsoft Azure, Google Cloud, and cloud-based AI services.
• Strong hands-on experience in LinkedIn sourcing, Boolean search, X-ray search, and technical talent mapping.
• Familiarity with technical communities for identifying specialized talent.
• Ability to understand technical job descriptions, identify relevant technology keywords, and conduct effective initial candidate screening.
• Strong communication, stakeholder management, negotiation, and candidate engagement skills.
• Ability to manage multiple recruitment requirements in a fast-paced, target-driven environment.
• Exposure to global recruitment, particularly sourcing technology and AI talent across international markets.
• Experience supporting high-volume and specialized technical recruitment requirements simultaneously.

Preferred Qualifications

• Direct recruitment experience in Generative AI, LLM Engineering, NLP, Computer Vision, MLOps, or AI Research roles.
• Familiarity with AI technologies and frameworks
• Experience recruiting candidates involved in LLM training, fine-tuning, model evaluation, reinforcement learning from human feedback (RLHF), or AI model optimization.
• Experience using AI-powered sourcing and recruitment platforms such