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Jack & Jill is building an AI-powered platform to automate complex data analyses for clinical scientists. The backend uses FastAPI and Celery, orchestrating multi-service workflows and integrating data from Snowflake and PostgreSQL into LLM-driven pipelines.
The role requires 2–4 years of backend experience in Python and solid SQL, with emphasis on asynchronous systems and Docker-based environments, to scale data-intensive applications.
Develop an AI-powered platform using FastAPI and Celery to automate complex data analyses for clinical scientists. Build workflow orchestration systems and integrate data from Snowflake and PostgreSQL into LLM-driven pipelines.
Requirements: Requires 2-4 years of backend engineering experience with strong proficiency in Python and scalable multi-service systems. Candidates must have solid SQL fundamentals and experience with async systems and Docker-based environments.
Key Skills: Python, FastAPI, Celery, SQLAlchemy, TypeScript, React, SQL, Docker, Snowflake, PostgreSQL, LLM Orchestration, Backend Engineering