Sr AI Engineer (Generative AI & Pharmacovigilance)

📋 Description

• Design, develop, and deploy AI and ML solutions for pharmacovigilance and drug-safety processes.
• Build Generative AI apps using OpenAI, Azure OpenAI, Anthropic, Llama, and similar platforms.
• Develop domain-specific AI assistants and intelligent workflows for pharmacovigilance operations
• Create intelligent document-processing for ICSRs, safety narratives, and regulatory submissions.
• Architect and optimize Retrieval-Augmented Generation (RAG) apps with vector databases and semantic
• Develop prompt-engineering frameworks and model fine-tuning approaches.

🎯 Requirements

• 5+ years in AI/ML engineering with production-grade AI deployments.
• Mandatory experience with Agentic AI frameworks; practical experience with Generative AI, LLMs
• Strong Python, with SQL, REST APIs, and PostgreSQL.
• Hands-on ML/DL, transformer models, NLP, Generative AI, and LLM fine-tuning.
• Experience with GenAI technologies: Azure OpenAI, OpenAI APIs, LangChain, LlamaIndex, crewAI, RAG
• Deploying AI/ML on cloud platforms (Azure, AWS; GCP preferred).

🎁 Benefits

• High-impact AI work in pharmacovigilance and life sciences.
• Exposure to Generative AI, LLMs, Agentic AI, RAG, NLP, GraphRAG.
• Cross-functional collaboration with AI, data science, safety ops, and software teams.
• Experience in regulated healthcare AI product development and governance.
• Opportunities for professional growth and responsible AI practices.
• Global team access and diverse life sciences challenges.