Fullstack Data Engineer - Applied & Agentic AI Systems

Roche is seeking a Fullstack Data Engineer to join our Applied AI Engineering Team in Hyderabad. You will be part of a newly formed, autonomous squad pioneering agentic, LLM-based solutions across the entire lifecycle—from rapid prototyping to production-grade deployment. You will architect resilient data infrastructure, orchestrate structured and unstructured datasets, and manage real-time streams within cloud-native environments to power next-generation healthcare AI.

• Collaborate with AI engineers, data scientists, and product owners to integrate LLMs into scalable and robust end-user applications
• Design and implement scalable, high-performance data pipelines for AI/GenAI applications ensuring efficient ingestion, transformation, and storage
• Work with vector databases and graph databases to facilitate similarity search, RAG, and multi-hop logical reasoning
• Build and maintain cloud-based data solutions using AWS or Azure
• Design and optimize data storage and processing using Snowflake for cloud-native analytics
• Implement data governance, security best practices, and set up monitoring and alerting for data pipelines

• 7+ years of experience in data engineering, preferably supporting AI/ML applications
• Advanced programming & SQL skills, writing production-grade Python and complex SQL queries
• Experience designing scalable ETL/ELT data pipelines and Lakehouse architectures (e.g., Snowflake)
• Hands-on expertise with orchestration tools like Airflow
• Experience developing RAG systems powered by Vector Databases and/or LLM fine-tuning
• Hands-on experience with Git, CI/CD, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform)
• B.Sc., B.Eng., or higher in Computer Science, Data Engineering, or a related field