Supporting AI experimentation: Contribute to model selection, training, experimentation, evaluation, testing and validation, with exposure to deployment through batch jobs, services and APIs.
Develop applications and backends: Build APIs, integrations, and lightweight UIs using Python, FastAPI, and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).
Develop applications and backends: Build APIs, integrations, and lightweight UIs using Python, FastAPI, and PostgreSQL, including data ingestion and retrieval pipelines (search and vector services).
Agentic AI Development: Design and prototype autonomous “agentic” systems capable of analyzing production logs, diagnosing anomalies, and recommending corrective actions to engineers.