AI Engineer (GenAI & Life Sciences)

TL;DR

AI Engineer (GenAI & Life Sciences): Designing and implementing scalable AI systems that transform unstructured life sciences data into knowledge for smarter pharmaceutical decisions with an accent on real pharmaceutical challenges. Focus on accelerating research, improving portfolio strategy, and strengthening competitive intelligence.

Location: Full remote flexibility from Spain, collaborating with a European-based team.

Company

hirify.global helps apply cutting-edge AI to real pharmaceutical challenges, transforming complex molecular data into actionable insights that impact decision-making.

What you will do

• Design GenAI applications (RAG systems, agentic workflows, retrieval solutions).
• Develop and deploy ML models for scientific data.
• Build and leverage knowledge graphs.
• Design and implement scalable AI systems.
• Transform unstructured life sciences data into knowledge.
• Accelerate research and improve portfolio strategy.

Requirements

• Strong Python expertise applied to real systems.
• Solid Machine Learning foundations.
• Hands-on experience with GenAI and RAG.
• Cloud experience (AWS).
• Ability to work with complex data.
• Clear communication skills.

Culture & Benefits

• Work with molecular data, transcriptomics, and competitive intelligence using GenAI, RAG systems, and ML models in real-world scenarios.
• Design, build, deploy, and optimize AI solutions used in strategic decisions.
• Work with LLMs, agentic systems, and AWS Bedrock in modern architectures.
• Partner with life sciences specialists to ensure real scientific and business impact.
• Continuous learning and growth.