AI-Powered Backend Engineer for Data Pipelines

Jack & Jill; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

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.

Qualifications

• 2–4 years of backend engineering experience with Python
• Strong SQL fundamentals and async systems experience
• Docker-based environments and scalable multi-service systems
• Experience with FastAPI and Celery is preferred

Responsibilities

• Develop an AI-powered platform to automate complex data analyses for clinical scientists
• Build workflow orchestration systems and integrate data from Snowflake and PostgreSQL into LLM-driven pipelines

Skills

Python

FastAPI

Celery

SQL

TypeScript

React

SQLAlchemy

Docker

Snowflake

PostgreSQL

LLM Orchestration

Backend Engineering

Job description

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.