As a Member of Technical Staff, you will architect the next generation of AI-native knowledge systems. You'll lead full-stack development of a managed SaaS platform using Next.js and Python while contributing to popular open-source frameworks. This role bridges the gap between rapid prototyping and scaling production-ready applications for millions of users.
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Member of Technical Staff, Full-Stack Product at LlamaIndex
Are you ready to shape the future of AI knowledge systems? We're looking for a product-minded Full-Stack Engineer to join a leading AI startup in San Francisco. You'll build the critical SaaS infrastructure and open-source frameworks that power document understanding for LLMs worldwide. If you have a track record of shipping AI-native apps that scale to millions and want to work directly with customers to define the product roadmap, this is your chance to make a massive impact. Enjoy a hybrid SF culture, competitive equity, and the opportunity to build the next generation of document agents.
About this role
Role overview
About the company
LlamaIndex is building the document infrastructure for AI agents. It contains a best-in-class agentic document processing engine to parse the most complex documents and translate them into formats that humans and AI can use. It also contains a variety of tools at the semantic layer (extraction/search) and agentic layer (workflows) to enable knowledge work over documents.
What you'll do
What you will do
- Build and scale a SaaS platform using a modern stack including Next.JS, shadcn, Python, Kubernetes, and Terraform.
- Develop and maintain core features for industry-leading open-source frameworks in both Python and TypeScript.
- Collaborate directly with customers to translate complex user feedback into production-ready AI features and product roadmap items.
Who you are
Who this is a fit for
- Has 2+ years of experience shipping web applications from prototype to production for large-scale user bases.
- Possesses deep full-stack proficiency in Python, Node.JS, and React-based frameworks like Next.JS.
- Demonstrates a track record of building AI/LLM-native applications and the ability to proactively scope features as a product-minded engineer.
Why this role
Why this role is remarkable
- Impact the global AI ecosystem by building the essential data layer for LLM applications and document-aware agents.
- Work in a high-velocity, hybrid environment in downtown San Francisco with a team of elite engineers and domain experts.
- Enjoy exceptional growth opportunities and top-tier benefits including equity, comprehensive healthcare, and daily catered lunches.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.