Data & GenAI Engineer
On-site · Bengaluru, Karnataka, India
Job Summary
Design and own data pipelines and GenAI-driven services that transform enterprise data into high-quality datasets and production-ready product capabilities. This role involves building backend APIs (FastAPI or similar), integrating with frontend applications (Angular/JS), and implementing data validation, monitoring, and observability. Responsible for Medallion architecture (Bronze/Silver/Gold), batch and streaming ETL/ELT, Spark/Databricks performance tuning, and end-to-end data products. In GenAI engineering, you’ll design production RAG systems, embedding pipelines, vector search, and retrieval-quality improvements, while aligning AI services with scalable, secure architecture. Collaboration across data, application, and AI layers to deliver reliable data models, data contracts, and measurable improvements in data quality and system performance.
Required Qualifications
- 3–5 years experience in Data Engineering / Backend Engineering
- Strong Python and advanced SQL skills
- Hands-on Spark/Databricks experience with performance optimization
- Deep understanding of Medallion architecture and production data systems
- Experience building data pipelines with testing and monitoring
- Practical understanding of LLMs, RAG systems, embeddings, vector search
- Experience building and deploying REST APIs
- Understanding of system design basics (scalability, reliability, trade-offs)
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.