AI Engineer
Core
Design, develop, and deploy scalable Generative AI, Agentic AI, and RAG solutions to transform commercial operations, market research, and patient engagement at a global biopharma company.
Role type
Senior AI Engineer (Generative AI & Agentic AI)
Builds
AI copilots, multi-agent systems, autonomous agents for omnichannel engagement, and unified platforms for sales/marketers/MSLs
Domain
Healthcare / Biopharma / Commercial Data Science
Deliverable
production ML models | product features
Required skills
Python, Java, SQL/NoSQL, Spark, REST APIs, Golang, NodeJS, Angular, Typescript, LangChain, LangGraph, Transformers, vector databases, agentic AI architectures, multi-agent systems, prompt engineering, tool/function calling, workflow orchestration, AI evaluation frameworks, Snowflake, Pinecone, AWS S3/RDS, AWS/GCP, Docker, Kubernetes, CI/CD, GitHub, DevOps tooling, microservices, event-driven architectures
Preferred skills
AWS certified ML Engineer, SnowPro Data Scientist Certification
Technologies
LangChain, LangGraph, Transformers, Snowflake, Pinecone, AWS, GCP, Docker, Kubernetes, Jira, Confluence
Responsibilities
Architect and implement RAG solutions and multi-agent systems; develop production-ready code with testing, CI/CD, and observability; mentor junior engineers and data scientists; monitor and improve AI application quality and scalability; ensure compliance with Responsible AI and regulatory requirements
Seniority
Senior, hands-on IC