AI Engineer

One of our clients, a leading global biopharma is driving a transformative AI initiative, embedding large language models (LLMs) directly into its clinical development workflows. This is about building something permanent, production-ready, and critical to decision-making in late-stage drug development. They are currently searching for an AI Engineer with deep expertise in LLMs to support this initiative

What you’ll do:

• Build and deploy AI systems into the late-stage clinical development pipeline
• Engineer feedback loops between lab experimentation and model learning
• Develop scalable infrastructure to support data ingestion, hypothesis generation, and decision support
• Collaborate cross-functionally with ML, biology, data, and clinical teams
• Drive integration across systems focused on pathways, networks, and therapeutic targets

 

What you bring:

• Strong backend/software engineering or ML infrastructure background
• Masters of PhD in Computational Biology or related field.
• Experience integrating AI into complex, regulated environments
• 5+ years experience within Biopharma.
• Passion for solving real-world problems with applied machine learning

This role sits at the intersection of AI, biology, and software, perfect for someone who wants to make impact at scale by embedding intelligence into the heart of drug development.

Can this role be interesting for you or anyone you know? If so, please send your CV and contact information to g.andrade@panda-int.com, and we will be in touch for a conversation.

Position: LLM Engineer
Location: USA
Contract: Full-time
Start Date: By agreement