Lead AI Engineer || Immediate Joiner
Enable Data (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 20–40 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and build data ingestion pipelines into Databricks using PySpark and PySQL, integrating sources like SAP and website scraping.
- Develop AI features using FastAPI/React with Chat UI interfaces and Claude Models/APIs, including prompt engineering and Retrieval Augmented Generation techniques.
- Automate CI/CD pipelines for deployment of bots, web applications, and Databricks notebooks, incorporating security validations like Snyk scans and linting.
Minimum Requirements
- Experience with Databricks including Unity Catalog permissions, Service Principals, and Databricks Apps deployment.
- Proficiency in PySpark, PySQL, FastAPI, React, and AI prompt engineering concepts.
- Strong skills in full stack development, security code corrections, and DevOps automation via Azure DevOps (ADO).
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Operates effectively as an individual contributor with quick sprint cycle deliveries and minimal supervision.
- Experienced in collaborating with cross-functional teams including toxicologists and project managers to clarify short requirement descriptions.
- Comfortable handling end-to-end solution architecture, code reengineering, and application troubleshooting across full-stack and AI domains.