Sr AI Engineer

Databricks - Design and build pipelines for ingesting data into Databricks from various sources like SAP, website scraping. Core technical skill will be PySpark and PySQL - Write and do scenario-based testing, edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria. - Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks Agents,Genie Spaces, Machine Learning and Foundation Models. - Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code. - Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks AI: - Ability to use FastAPI /React front end and build minimal Single Page Applications(SPAs) using Chat UI interfaces and Claude Models/APIs - Ability to use defined System Prompts, User Prompts etc..(i..e,) skills in prompt engineering. - Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language. - Ability to reengineer code and see what it does and map it to the requirement specifications from users - Ability to use Graphs to detect inter dependencies between rules and circular references. - Ability to use both Claude Vision API in addition to standard text processing. - Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes, Hierarchical Chunking etc.. - Know how to implement basic guard rails related to AI safety - Understand various caching mechanisms Tools: - Ability to work with Claude Code and Genie.