AI Data Infrastructure Architect
4 weeks ago
About the Role:
We are seeking a highly skilled AI Data Infrastructure Architect to join our team at LlamaIndex. As a key member of our engineering team, you will be responsible for architecting and scaling LlamaCloud's integrations to meet the needs of the next generation of agentic applications.
This includes working on both data loading and agentic tool interfaces. Data loading refers to connecting to a data source, loading unstructured data, and performing ETL steps to transform and index it into a storage system (e.g. a vector database). It is vaguely similar to traditional ETL workloads (e.g. with dbt) but with very different steps.
Agentic tool interfaces is a forward looking concept where LLM agents interact with every data system through a set of API interfaces. For each service, this not only includes API interfaces to load and retrieve data, but also API interfaces to take actions.
Responsibilities:
- Architect and scale LlamaCloud's integrations to meet the needs of the next generation of agentic applications.
- Work on both data loading and agentic tool interfaces.
- Connect to a data source, load unstructured data, and perform ETL steps to transform and index it into a storage system.
- Develop API interfaces to load and retrieve data, as well as take actions.
Requirements:
- Deep expertise with Python and related ecosystem (Pydantic, Poetry, FastAPI, etc.).
- Proven track record of building scalable B2B data infrastructure systems that process large amounts of data.
- Expertise in building quickly but scaling as necessary.
- Knowledge of working with various data sources, APIs, and authentication protocols.
- Prior experience with ETL, data orchestration, or distributed data processing is strongly preferred.
What We Offer:
- Competitive compensation.
- Meaningful equity options in a rapidly growing company.
- 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.
Location:
We offer a hybrid-friendly culture based out of our downtown San Francisco office.
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