Principal Technical Recruiter at Talentful attracting best talent for clients in tech sector. Collaborating closely with clients to understand culture and sourcing strategies.
About the role
- Technical Recruiter focusing on AI/ML engineering roles for AI document infrastructure company. Manage full recruiting lifecycle and enhance candidate experience at LlamaIndex.
Responsibilities
- Own the full recruiting lifecycle across the company: sourcing, outreach, screening, interview coordination, offer negotiation, and close.
- Build deep understanding of LlamaIndex's products, technical stack, and culture.
- Source exceptional candidates for specialist roles using a mix of direct outreach and AI-powered sourcing tools.
- Use AI recruiting tools effectively and responsibly.
- Manage and optimize relationships with external recruiting agencies.
- Own and continuously improve the candidate experience from first touchpoint through onboarding.
- Partner with hiring managers across engineering, product, and GTM to define role requirements.
- Track and report on pipeline metrics, identify bottlenecks, and proactively iterate on sourcing strategies.
Requirements
- 2–5 years of full-cycle recruiting experience, ideally with a mix of high-growth startup and larger tech company environments.
- Proven track record recruiting for niche, highly technical engineering roles (e.g., ML/AI, infrastructure, platform, developer tools).
- Experience hiring across functions - comfortable switching between an infra engineer search and a marketing or sales hire without missing a beat.
- Hands-on experience with AI-powered sourcing and recruiting tools.
- Strong ability to assess talent - you know what "good" looks like and can deliver high-precision candidate slates without extensive calibration cycles.
- Experience managing external agency relationships and vendor processes.
- Demonstrated grit and longevity: you've stuck around at a high-growth company through the hard parts, not just the honeymoon phase.
- Excellent communication and relationship-building skills with both candidates and internal stakeholders.
- Nice to have: familiarity with the AI/ML ecosystem, open-source developer communities, or developer tools space.
Benefits
- Offers Equity
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