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UniversalAGI

Deploys autonomous AI agents for enterprises

Technical Sourcer

Full-TimeUpdated on 10/23/2026
No salary listed
Junior
San Francisco, CA, USA
In PersonOnsite in San Francisco five days per week.
People & HRTechnical Recruiting
H1B Sponsorship Available

About the job

Requirements
  • At least 2 years of high-volume technical recruiting or sourcing experience, with a proven record of quickly closing specialized talent.
  • Personally closed 30 or more technical hires and can demonstrate rapid pipeline-to-offer conversion.
  • Expertise in sourcing strategies and tools, including LinkedIn Recruiter, JuiceBox, GitHub, Boolean search, X-ray searches, AI sourcing tools, research paper databases, and conference attendee lists.
  • Demonstrated success recruiting for deep-tech roles such as AI/ML engineers, research scientists, simulation engineers, computational specialists, or similarly specialized technical talent.
  • Strong technical fluency and the ability to quickly learn complex technical domains to have credible conversations with senior engineers and researchers.
  • Ability to manage candidate experience with clarity, speed, and conviction.
  • Ability to manage multiple pipelines simultaneously and meet aggressive hiring targets.
  • Ability to engage passive candidates and build long-term talent networks.
  • Strong analytical skills to optimize recruiting funnels and improve conversion rates.
  • Comfort working in a fast-paced startup environment with evolving priorities, ambitious hiring goals, and tight deadlines.
  • Ability to work in an in-person-first culture, in the office five days per week.
  • Availability to be involved with critical candidates during evenings and weekends when needed.
Responsibilities
  • Source, engage, and close high volumes of specialized technical talent, including AI/ML researchers, physics simulation engineers, and deep-tech engineers.
  • Build and execute creative sourcing strategies for specialized niches, including physics-informed neural network researchers, CFD engineers from automotive, aerospace, or maritime fields, computational physicists, applied mathematicians, and systems engineers.
  • Own the candidate pipeline from initial identification through offer acceptance, managing more than 50 active candidates while maintaining a strong candidate experience.
  • Develop technical fluency in AI, CFD, physics simulation, and numerical methods to hold credible conversations with senior technical talent and assess fit.
  • Partner with the CEO and hiring manager to understand role requirements, ideal candidate profiles, and the competitive landscape, then execute recruiting efforts.
  • Build and maintain a talent pipeline that stays weeks ahead of hiring needs.
  • Design and optimize recruiting workflows, tools, and processes that scale with company growth while maintaining quality.
  • Track, analyze, and optimize recruiting metrics, including pipeline conversion rates, time-to-hire, source effectiveness, offer acceptance rates, and candidate quality scores.
  • Represent UniversalAGI at conferences, meetups, and technical communities to build the employer brand and talent network in AI and deep-tech circles.
Desired Qualifications
  • Prior experience recruiting for AI startups from seed through Series C during hypergrowth from 0 to 100 or more employees.
  • Experience recruiting software engineers and recruiting from simulation software companies or for physics-heavy engineering roles.
  • Experience recruiting research-focused roles, including PhDs, postdoctoral researchers, and research scientists, from top universities and laboratories.
  • Experience building recruiting processes and infrastructure from scratch at early-stage startups.
  • A technical background or engineering degree that enables deeper technical conversations.
  • An existing talent network in AI research, computational physics, or simulation engineering communities.
  • Experience with employer branding initiatives and representing companies at technical conferences.

About the company

UniversalAGI operates as a forward-deployed AI lab that builds and deploys autonomous AI agents for enterprises and government organizations. Its platform provides the infrastructure, talent, and security needed to turn business concepts into production-ready AI applications that work with an organization’s most sensitive data. The system includes a suite of agents and automation tools and can often convert a concept into a working app in under an hour using natural language inputs, with emphasis on security, scale, and adaptability. The company differentiates itself by embedding expert AI teams with clients to deliver mission-critical, production-grade AI—often in secure or air-gapped environments for sensitive national data—and by combining no-code capabilities with enterprise-grade AI transformations. UniversalAGI aims to enable rapid, secure AI adoption across both private and public sectors, delivering autonomous, reliable AI solutions for complex, data-sensitive challenges.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

San Francisco, California

Founded

N/A

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Simplify Jobs

Simplify's Take

What believers are saying

  • Precisely podcast coverage in February 2026 validates enterprise interest in agentic data integrity.
  • 2026 hiring for technical product and ML infrastructure roles signals active product commercialization.
  • Research posts in August 2026 show rapid model iteration and stronger technical storytelling.

What critics are saying

  • ZipRecruiter postings show multiple open roles, signaling a tiny, execution-heavy team.
  • If LIFT misses accuracy claims, engineering customers abandon it for established CFD vendors.
  • Dependence on founder-led enterprise sales makes UniversalAGI fragile before repeatable revenue.

What makes UniversalAGI unique

  • UniversalAGI positions itself as “OpenAI for Physics” for industrial simulation.
  • 2026 jobs cite LIFT architecture, replacing CFD solvers with seconds-fast physics outputs.
  • Its air-gapped, sensitive-data deployment focus targets defense, aerospace, and government buyers.

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Benefits

  • Health Insurance
  • Dental Insurance
  • Vision Insurance
  • 401(k) Retirement Plan
  • Paid Vacation
  • Commuter Benefits
  • Meal Benefits
  • Team Building & Fun Activities
  • Wellness Program
  • Company Equity

Growth & Insights and Company News

6 month growth

-5%

1 year growth

-9%

2 year growth

-9%
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