Job Overview
Location
San Francisco
Job Type
Full-time
Category
Engineering
Date Posted
August 8, 2026
Full Job Description
📋 Description
- • Join us and help shape the future of AI by defining the narrative around document understanding.
- • Collaborate with other engineering teams to build and maintain foundational systems that empower developers and support the company's rapid growth.
- • Design and implement scalable infrastructure solutions for various deployment models, including SaaS, single-tenant, and private deployments.
- • Manage and optimize cloud resources and Kubernetes clusters for cost-effectiveness and performance.
- • Enable external customer deployment success through maintaining clear infrastructure boundaries and principles.
- • Optimize and improve the release and deployment processes to enhance efficiency and reliability.
- • Ensure compliance with relevant regulations and implement robust security measures across different deployment environments.
- • Build and operate infrastructure for production LLM applications, including model integrations, inference workloads, evaluation pipelines, observability, and the reliable execution of agentic workflows.
🎯 Requirements
- • 8+ years of engineering experience.
- • Worked on Platform or Infrastructure teams on significant projects involving infrastructure components (Terraform/CDKTF, Kubernetes, Helm, test infrastructure, release management, observability, etc.)
- • Experience in optimizing cloud resource utilization.
- • Proficient in tuning Kubernetes clusters and cloud resources for cost and performance efficiency.
🏖️ Benefits
- • Competitive base salary and equity compensation.
- • Comprehensive medical/dental/vision coverage for you and your family.
- • Unlimited paid time off policy.
- • Daily catered lunch and snacks in the San Francisco office.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About LlamaIndex, Inc.
LlamaIndex, Inc. provides a platform for building AI agents that redefine document workflows. Their tools parse, extract, and index data, offering solutions for persona engineering, R&D, and administrative operations across industries like finance, insurance, manufacturing, and healthcare. LlamaIndex empowers financial analysts, streamlines business processes, and optimizes system uptime through AI-powered models. They serve a diverse range of clients, including Jeppesen (a Boeing Company), who saved approximately 2,000 engineering hours using their unified chat framework. LlamaIndex supports developers with resources and building blocks for AI agents, offering both Python and Typescript SDKs.
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