LlamaIndex - Backend Engineer, Q1'24 (Copy)
About The Position
About LlamaIndex: Large Language Models (LLMs) are capable of human and super-human reasoning, but they don’t understand your personal or organizational data. The core mission of LlamaIndex is to enable developers to LLM-powered applications on top of any private data source. We are at the forefront of a new way to build software. Doing this successfully will usher a new age of knowledge automation and completely redefine the modern data stack. Our product offerings consist of an open-source Python/Typescript framework as well as an in-development enterprise platform. The framework has 1M+ monthly downloads and is used from large enterprises to early-stage startups - it is both easy to get started but robust for production use. We’re backed by Greylock and a fantastic set of angels, such as Jack Altman, Lenny Rachitsky, Mathilde Collin, Raquel Urtasun, Joey Gonzalez, Dan Shipper, Ben Tossell, and more.
Requirements
- Proven track record of building scalable cloud services that process massive amount of data.
- Experience with the full lifecycle of architecting scalable infrastructure, deploying containerized services to cloud providers via infrastructure-as-code.
- Expertise in building user-facing APIs.
- Passion for LLMs and the immense opportunities it offers for developers and end users.
- Ability to contextualize all backend decisions with the goal of creating an amazing set of tools for developers to use.
Nice To Haves
- Experience building multi-tenant cloud deployments.
- Experience at b2b companies that have built multi-tenant cloud services and built data infrastructure.
- Experience with open source systems rather than e.g. google specific technology.
- Prior experience with ETL / data orchestration / distributed data processing are strongly preferred.
Responsibilities
- Architecting and scaling LlamaIndex’s cloud platform.
- Working closely with our framework engineering and full-stack engineering team to deliver a top-notch integrated developer experience for building the next-generation of context-aware (i.e. RAG) applications.
Benefits
- Competitive salary (100K-300K, based on experience and location).
- Equity options in a rapidly growing company.
- Comprehensive health insurance.
- Generous paid time off policy.
- Lunch + Snacks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
