Applied AI Engineer, Life Sciences

About the role

Prior experience working directly with pharmaceutical companies, pharma teams, or life sciences products is required. You will build AI systems across HCP, patient, medical, and commercial workflows, working on problems where scientific accuracy, reliability, and domain context matter This is production software, not prototypes or demos.

What you'll do

• Build production-grade applications using LLMs, retrieval, agents, structured data, and multimodal AI
• Design AI workflows across pharmaceutical commercial, medical, and patient use cases
• Build retrieval and knowledge systems over scientific, medical, and enterprise data
• Develop evaluation frameworks for accuracy, reliability, safety, and domain-specific failure modes
• Work with pharma datasets including CRM, claims, sales, HCP, patient, clinical, and scientific data

What you need

• 3–6 yrs of experience
• Machine learning
• Python
• LLMs
• CRM
• Prototyping
• Any graduate