Senior AI Backend Engineer (RAG / Clinical Intelligence Platform)

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too.
We are looking for Senior AI Backend Engineer

Project Overview

A site-centric Clinical Trial Management System (CTMS) that helps research sites efficiently activate and manage studies while ensuring full regulatory compliance. The platform streamlines study start-up, documentation, sponsor communication, and operational workflows in an audit-ready environment.

A core component is an AI-powered protocol engine that converts complex clinical trial documents (100–400+ pages) into structured workflows, extracting key elements such as:

Schedule of Assessments (SoA)
Visit timelines and structures
Inclusion/Exclusion criteria
Investigational product requirements
Regulatory and operational tasks

Key Responsibilities

Design and optimize RAG-based pipelines for medical protocol extraction.
Improve AI performance, traceability, and output validation.
Build and maintain scalable backend systems (FastAPI, PostgreSQL).
Model complex clinical data and ensure auditability/compliance.
Enhance system reliability (logging, monitoring, testing, reproducibility).
Support system validation (CSV) and enforce secure coding practices.
Maintain CI/CD pipelines, Dockerized services, and system scalability.

Required Skills & Experience

5+ years with Python, FastAPI, SQLAlchemy.
Strong PostgreSQL expertise (design, performance tuning).
Experience with microservices, Docker, and async processing (Celery, Redis, RabbitMQ).
Hands-on experience with RAG systems, LangChain, and vector DBs (pgvector).
Understanding of LLMs, embeddings, and cost/performance trade-offs.
Experience in regulated industries (healthcare, fintech, etc.) is a plus.