AI Engineer

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.