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AI & Technical Recruiter

  • AI & Technical Recruiter job type Posted on: Oct 11, 2026
  • AI & Technical Recruiter experience level ZRG Careers
  • AI & Technical Recruiter employment type Seattle, Washington
  • AI & Technical Recruiter employment type Onsite
  • AI & Technical Recruiter salary Full-time

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Job Title :

AI & Technical Recruiter

Job Type :

Full-Time

Job Location :

Seattle Washington United States

Remote :

No

Jobcon Logo Job Description :

We are seeking an experienced Technical Recruiter with a proven track record of recruiting highly specialized AI, Machine Learning, Software Engineering, and Technical Infrastructure talent.The ideal candidate understands the AI talent landscape, has experience sourcing passive candidates from leading technology organizations, and can effectively assess technical backgrounds while managing full-cycle recruiting effortsKey ResponsibilitiesManage full-cycle recruiting for AI, Machine Learning, Data Science, Software Engineering, Data Center, Cloud Infrastructure, and related technical rolesPartner closely with hiring managers to understand business objectives, technical requirements, and ideal candidate profileDevelop creative sourcing strategies to identify passive talent across competitive technology marketBuild and maintain pipelines of AI researchers, machine learning engineers, software developers, data scientists, MLOps engineers, infrastructure engineers, and technical leadersConduct recruiter screenings to evaluate technical competencies, career progression, and cultural alignmentDrive candidate engagement throughout the interview process while delivering a high-touch candidate experienceTrack recruiting metrics and provide regular updates on pipeline health, market conditions, and hiring progresLeverage LinkedIn Recruiter, ATS platforms, talent mapping, and advanced sourcing techniques to identify top talentRequired Qualifications5+ years of full-cycle recruiting experience focused on technical hiringExperience recruiting for AI, Machine Learning, Data Science, Software Engineering, Cloud, Infrastructure, or related technical disciplinesStrong sourcing expertise with demonstrated success identifying passive candidatesAbility to understand technical job requirements and discuss technologies with candidates and hiring managersExperience supporting high-growth technology organizations, startups, AI companies, or enterprise technology teamsStrong stakeholder management and communication skillsExperience working in a fast-paced, evolving environment with multiple concurrent searchExperience hiring technical talent for AI infrastructure, GPU computing, data centers, or cloud platformsRecruiter Profile:Volume: has managed 15+ reqs at once, including roles with several seats, without letting candidate experience slip.Ability to work through ambiguity: has worked through mid-search changes in hiring strategy, priorities or headcount.Business acumen: has been a real partner to hiring managers, with weekly written and verbal updates and the ability to influence using data.Relevant background: full life-cycle experience (not sourcing only) at an AI compute company, neocloud or hyperscaler, owning hiring for at least two or three of the areas below.Software, site reliability & platform engineeringSecurity engineeringNetwork engineeringTechnical program managementSystems & deployment engineering

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

10440_4473538823

Employment:

Full-time

City:

Seattle

Job Origin:

APPCAST_CPC

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We are seeking an experienced Technical Recruiter with a proven track record of recruiting highly specialized AI, Machine Learning, Software Engineering, and Technical Infrastructure talent.The ideal candidate understands the AI talent landscape, has experience sourcing passive candidates from leading technology organizations, and can effectively assess technical backgrounds while managing full-cycle recruiting effortsKey ResponsibilitiesManage full-cycle recruiting for AI, Machine Learning, Data Science, Software Engineering, Data Center, Cloud Infrastructure, and related technical rolesPartner closely with hiring managers to understand business objectives, technical requirements, and ideal candidate profileDevelop creative sourcing strategies to identify passive talent across competitive technology marketBuild and maintain pipelines of AI researchers, machine learning engineers, software developers, data scientists, MLOps engineers, infrastructure engineers, and technical leadersConduct recruiter screenings to evaluate technical competencies, career progression, and cultural alignmentDrive candidate engagement throughout the interview process while delivering a high-touch candidate experienceTrack recruiting metrics and provide regular updates on pipeline health, market conditions, and hiring progresLeverage LinkedIn Recruiter, ATS platforms, talent mapping, and advanced sourcing techniques to identify top talentRequired Qualifications5+ years of full-cycle recruiting experience focused on technical hiringExperience recruiting for AI, Machine Learning, Data Science, Software Engineering, Cloud, Infrastructure, or related technical disciplinesStrong sourcing expertise with demonstrated success identifying passive candidatesAbility to understand technical job requirements and discuss technologies with candidates and hiring managersExperience supporting high-growth technology organizations, startups, AI companies, or enterprise technology teamsStrong stakeholder management and communication skillsExperience working in a fast-paced, evolving environment with multiple concurrent searchExperience hiring technical talent for AI infrastructure, GPU computing, data centers, or cloud platformsRecruiter Profile:Volume: has managed 15+ reqs at once, including roles with several seats, without letting candidate experience slip.Ability to work through ambiguity: has worked through mid-search changes in hiring strategy, priorities or headcount.Business acumen: has been a real partner to hiring managers, with weekly written and verbal updates and the ability to influence using data.Relevant background: full life-cycle experience (not sourcing only) at an AI compute company, neocloud or hyperscaler, owning hiring for at least two or three of the areas below.Software, site reliability & platform engineeringSecurity engineeringNetwork engineeringTechnical program managementSystems & deployment engineering

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