Fullstack Data Engineer - Applied & Agentic AI Systems
Roche (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 22–40 LPA
Posted on 9 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement scalable, high-performance data infrastructure and pipelines to support AI/GenAI applications, including vector and graph databases in cloud-native environments.
- Collaborate within autonomous agile teams to integrate LLMs and build production-ready generative AI solutions focusing on real-time performance, robustness, and compliance.
- Ensure data governance, security, and operational reliability through monitoring, alerting, and adherence to regulatory standards in a highly regulated healthcare setting.
Minimum Requirements
- 7+ years of experience in data engineering, preferably supporting AI/ML applications.
- Proficient in Python programming and advanced SQL for production-grade code and complex queries.
- Hands-on experience with ETL/ELT data pipelines, Snowflake, orchestration tools (like Airflow), vector and graph databases, and cloud platforms (AWS or Azure).
- Bachelor's degree or higher in Computer Science, Data Engineering, or related field; located in Hyderabad, India with work hours overlapping CET.
Ideal Candidate Profile
- Experienced in architecting scalable, fault-tolerant data pipelines and managing both structured and unstructured datasets for AI systems, including RAG and fine-tuning workflows.
- Comfortable working in small, autonomous teams applying agentic software development lifecycles using AI coding assistants and conducting rigorous code reviews.
- Strong understanding of data security, governance, software engineering best practices, and ethical AI deployment within regulated industries.