Lead AI Engineer || Immediate Joiner

Solution Architecture/Data Architecture

1. Change Source code to accommodate for various architectural considerations e.g.: Moving MSAL based authentication to JWT based authentication to Databricks X-forwarded headers while using Apps
2. Sit through Technical reviews for configuring necessary Azure resources for deploying the application.
3. Prepare Technical/Network Architecture Documentation and send it reviews and approvals for cloud and security teams before going live.

Databricks

1. Design and build pipelines for ingesting data into Databricks from various sources like SAP website scraping. Core technical skill will be PySpark and PySQL
2. Write and do scenario-based testing edge cases and discuss with the stake holders to finalize the necessary code changes and acceptance criteria.
3. Understanding of the Databricks Unity Catalog permissions model and how to use OBO tokens and configure Service Principals for Databricks AgentsGenie Spaces Machine Learning and Foundation Models.
4. Knowledge of Databricks Apps. Ability to build and Deploy Databricks Apps using Visual Studio Code.
5. Sending custom notifications from Databricks using APIs to custom Team Channel Webhooks

AI:

1. Ability to use FastAPI /React front end and build minimal Single Page Applications(SPAs) using Chat UI interfaces and Claude Models/APIs
2. Ability to use defined System Prompts User Prompts etc..(i..e) skills in prompt engineering.
3. Basic Knowledge of Token Economics and ability use rule enforcement in prompts in addition to standard NLP language.
4. Ability to reengineer code and see what it does and map it to the requirement specifications from users
5. Ability to use Graphs to detect inter dependencies between rules and circular references.
6. Ability to use both Claude Vision API in addition to standard text processing.
7. Understand and develop Retrieval Augmented Generation specifically to Databricks like AI Search indexes Hierarchical Chunking etc..
8. Know how to implement basic guard rails related to AI safety
9. Understand various caching mechanisms

Tools:

1. Ability to work with Claude Code and Genie.

Full Stack Development:

1. Ability to understand how a full stack works frontend backend middle ware data layers routes etc.. and troubleshoot issues if any.
2. Correct and rewrite code if any related to security findings in addition to standard development.
3. Ability to Document code through various techniques like TDDFDDDFD and SDs

DevOps:

1. Create and Automate deployment pipelines(CI/CD) for Teams Bot Deployment Web Application Deployments Databricks Bundle/notebook Deployments through ADO.
2. Add various validation steps like SnykScans Linting.
3. Configuring various various environments based on CI/CD pipelines.

Communication Skills and Expectations:

1. Ability to work with short descriptions of requirements and collaborating closely with Toxicoloigists Project Managers from client team.
2. Ability to deliver work as an Individual Contributor in short sprint cycles.

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IC