Backend Engineer (+ Equity) at LlamaIndex

Join a high-caliber team at LlamaIndex building core services like LlamaCloud and LlamaParse. You will own the backend lifecycle for tools powering AI agentic workflows at scale. This role focuses on designing robust APIs and scaling Kubernetes-based infrastructure to handle millions of documents for a massive global developer community.

Responsibilities

• Design, develop, and maintain high-performance Python-based APIs (REST, GraphQL, or gRPC) that serve as the foundation for LlamaCloud and LlamaParse.
• Architect and manage Kubernetes-based deployments across AWS/GCP, ensuring the scalability and reliability of systems processing millions of documents.
• Collaborate with a lean engineering team to ship end-to-end features, from service architecture to CI/CD automation via GitHub Actions.

Requirements

• Has 4+ years of production experience in Python, demonstrating engineering rigor from top-tier tech firms combined with the velocity of early-stage startups.
• Possesses deep expertise in Kubernetes, including deploying, scaling, and debugging complex containerized environments in production settings.
• Demonstrates a proven track record of shipping independently and thriving in fast-paced environments without the need for heavy management process or overhead.

Qualifications

• Experience with REST, GraphQL, or gRPC APIs.
• Knowledge of Kubernetes and its deployment, scaling, and debugging in production environments.
• Strong problem-solving skills and ability to work effectively in a fast-paced, agile environment.

Skills

• Python programming language.
• Kubernetes orchestration.
• CI/CD pipelines using GitHub Actions.
• Experience with cloud platforms such as AWS and GCP.

Benefits

• Equity in a Series A startup.
• Opportunity to work on impactful projects with a large global developer community.
• Flexible work schedule in San Francisco, USA.

Pay

Salary Not Disclosed + Equity

Schedule

Full-time position based in San Francisco, USA.

Benefits

• Health insurance.
• Retirement plans.
• Flexible work schedule.
• Professional development opportunities.

Contact

To apply, please contact Jill, the AI Recruiter, directly through Jack's platform.