LlamaIndex is a leading provider of tools for developers to build intelligent agents that extract insights and take action on complex enterprise documents. The company combines advanced document parsing and extraction with a scalable framework for building reasoning agents that adapt to business logic, making it a trusted choice for enterprises. With an open-source framework downloaded over 4 million times monthly and processing over 200 million documents on LlamaCloud, LlamaIndex stands out in the industry through its innovative approach and high demand among developers.
Open Positions
Applied AI Solutions Architect (East Coast)
Strong engineering foundation with AI/ML experience, customer-facing technical role experience, and clear communication skills
Enterprise Account Executive - EMEA
5+ years of closing experience in enterprise SaaS sales, proven ability to sell into complex organizations, and demonstrated success in net-new logo acquisition and expansion
AI Content Engineer
3-5 years of experience in software engineering, strong Python skills, and ability to write technical content at high velocity
Mid-Market Sales Manager / Director
6–10 years of sales experience and 2–4 years of frontline sales management experience with a track record of team quota attainment
Senior Infra Engineer
5+ years of engineering experience, experience in optimizing cloud resource utilization, and proficient in tuning Kubernetes clusters
Full-Stack Product Engineer
2+ years of experience, shipped web applications, and shipped AI applications
Lead Product Manager
4+ yrs product management exp, strong APIs/SDK understanding, customer-obsessed. Data-driven decision-making & communication skills are essential
Senior/Staff Backend Engineer
4+ years of experience in shipping new product features from scratch, AI/LLM-native applications, and rapid iteration with customers or engineers
Multimodal AI Engineer, Document Understanding
3-7 years of experience in machine learning engineering, strong software engineering fundamentals, and hands-on experience training ML models
Technical Recruiter
2–5 years of full-cycle recruiting experience, ideally with a mix of high-growth startup and larger tech company environments
+12 More Jobs Available!
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