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Join us and help shape the future of AI by defining the narrative around document understanding.
ABOUT THE ROLE:
Llama Index is building the document infrastructure layer for AI agents - from industry-leading document OCR (Llama Parse) to a document workflow platform (Llama Agents) that helps enterprises automate human knowledge work over documents. We're growing fast, and we need a hands-on recruiter who can own hiring end-to-end across the company.
- Your primary focus will be technical hiring
- AI/ML engineers, infrastructure, full-stack, and developer tools - but you'll also support go-to-market and marketing hires as the company scales. You should be someone who gets energy from the day-to-day grind of sourcing, screening, and closing great talent, not someone looking to move into a purely strategic or management track. If you know how to leverage AI-powered recruiting tools without letting them go off the rails, and you can go from an ambiguous hiring need to a signed offer faster than most people can write a JD, let's talk.
RESPONSIBILITIES:
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Own the full recruiting lifecycle across the company: sourcing, outreach, screening, interview coordination, offer negotiation, and close. Primary focus on engineering roles, with secondary coverage of marketing and GTM hires.
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Build deep understanding of Llama Index's products, technical stack, and culture so you can accurately assess candidate fit and maintain a high-precision pipeline across both technical and non-technical roles.
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Source exceptional candidates for specialist roles using a mix of direct outreach, AI-powered sourcing tools (e.g., Juicebox, LinkedIn Recruiter, agents), and creative channels.
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Use AI recruiting tools effectively and responsibly - invest the time to tune filters and review output carefully rather than letting automated outreach run unchecked.
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Manage and optimize relationships with external recruiting agencies; know when to scale agency support up or down based on hiring velocity.
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Own and continuously improve the candidate experience from first touchpoint through onboarding, ensuring every interaction reflects Llama Index's brand and values.
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Partner with hiring managers across engineering, product, and GTM to define role requirements, calibrate on candidate profiles, and adapt quickly as priorities shift.
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Track and report on pipeline metrics, identify bottlenecks, and proactively iterate on sourcing strategies to hit hiring targets.
QUALIFICATIONS:
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2–5 years of full-cycle recruiting experience, ideally with a mix of high-growth startup and larger tech company environments.
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Proven track record recruiting for niche, highly technical engineering roles (e.g., ML/AI, infrastructure, platform, developer tools). You don't need to know every engineering specialty, but you know how to go deep fast when you encounter a new one .
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Experience hiring across functions - comfortable switching between an infra engineer search and a marketing or sales hire without missing a beat.
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Hands-on experience with AI-powered sourcing and recruiting tools. You understand what actually saves time versus what's hype, and you invest in getting your filters right.
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Strong ability to assess talent - you know what "good" looks like and can deliver high-precision candidate slates without extensive calibration cycles.
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Experience managing external agency relationships and vendor processes.
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Demonstrated grit and longevity: you've stuck around at a high-growth company through the hard parts, not just the honeymoon phase.
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Excellent communication and relationship-building skills with both candidates and internal stakeholders.
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Nice to have: familiarity with the AI/ML ecosystem, open-source developer communities, or developer tools space.
LOCATION
This role is in-person at our downtown San Francisco office. We believe having our recruiter on-site is essential - for understanding our culture firsthand, meeting candidates who visit the office, and staying deeply connected to the teams you're hiring for.
WHY JOIN US?
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Impactful Mission: Work at the center of the AI revolution, helping build the team behind the infrastructure that powers how the world accesses and uses knowledge.
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Collaborative Team: Join a team of passionate, deeply technical people who move fast and care about craft.
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Growth Opportunities: As Llama Index scales, you'll have the opportunity to shape the recruiting function from the ground up and grow alongside the organization.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Llama Index does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees, or any other organization location. Llama Index is not responsible for any fees related to unsolicited resumes.
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About LlamaIndex

LlamaIndex
Series ALlamaIndex is an open-source data framework that enables developers to connect custom data sources to large language models. The company provides tools and infrastructure for building LLM-powered applications with retrieval-augmented generation capabilities.
1-50
Employees
San Francisco
Headquarters
Reviews
4.1
44 reviews
Work Life Balance
3.8
Compensation
4.2
Culture
4.4
Career
4.3
Management
3.6
82%
Recommend to a Friend
Pros
Cutting-edge technology stack and interesting technical challenges
Competitive compensation packages with equity
Strong engineering culture with focus on code quality
Cons
Work-life balance can be challenging during product launches
Internal politics in some teams
Organizational changes and restructuring can be disruptive
Salary Ranges
4 data points
Senior/L5
Staff/L6
Senior/L5 · Full Stack Product Engineer
2 reports
$260,000
total / year
Base
$200,000
Stock
-
Bonus
-
$260,000
$260,000
Interview Experience
1 interviews
Difficulty
4.0
/ 5
Duration
14-28 weeks
Experience
Positive 0%
Neutral 0%
Negative 100%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
System Design Interview
5
Team Matching
6
Offer
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
FAISS/Vector Database
LLM/AI Experience
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