About the position
We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.
Responsibilities
- Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R&D knowledge mining, regulatory intelligence, and medical information services.
- Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).
- Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).
- Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.
- Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.
- Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.
- Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.
