About the role
At Cellbyte, you’ll own meaningful parts of our AI and data pipelines, growing into a core engineer who shapes scalable AI in pharma workflows. You’ll solve complex problems in large-scale AI and data systems, build end-to-end LLM-powered extraction and transformation pipelines, and turn real pharma workflows into AI-native solutions. This role matters for reliability, real-world impact, and rapid iteration in a startup-minded environment. What youll do • Own meaningful parts of our AI and data pipelines and grow into a core engineer. • Solve complex problems in large-scale AI and data systems. • Build end-to-end LLM-powered extraction and transformation pipelines. • Implement and maintain automation workflows for crawling, ingestion, and modelling. • Develop automated validation and evaluation systems for data quality and LLM outputs. • Turn real pharma workflows into AI-native systems. • Take ownership of features from concept to production. What Cellbyte is looking for • At least 2 years of experience (internships included) in ML, data engineering or related roles. • Proficiency with Python for solving non-trivial problems, especially around data pipelines and ML/LLMs. • Experience deploying ML/data pipeline features to production and monitoring their performance. • Proficiency with Docker, Azure cloud platform, and Terraform for infrastructure and deployment. • Experience designing and implementing automated data quality validation and evaluation systems for data and LLM outputs. • Experience applying AI to pharma/healthcare workflows is a plus.