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Lead AI Engineer || Immediate Joiner

Enable Data Incorporated
Remote (Bengaluru, Karnataka, India) Posted Sep 17, 2026
Full-timeRemote

About this role

Lead AI Engineer || Immediate Joiner

Solution Architecture/Data Architecture

  • 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

  • Sit through Technical reviews for configuring necessary Azure resources for deploying the application.

  • Prepare Technical/Network Architecture Documentation and send it reviews and approvals for cloud and security teams before going live. 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. Full Stack Development:

  • Ability to understand how a full stack works frontend, backend, middle ware data layers, routes etc.. and troubleshoot issues if any.

  • Correct and rewrite code if any related to security findings in addition to standard development.

  • Ability to Document code through various techniques like TDD,FDD,DFD and SD’s DevOps:

  • Create and Automate deployment pipelines(CI/CD) for Teams Bot Deployment ,Web Application Deployments, Databricks Bundle/notebook Deployments through ADO.

  • Add various validation steps like SnykScans, Linting.

  • Configuring various various environments based on CI/CD pipelines.

Communication Skills and Expectations:

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

Requirements

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Expected CTC:

  • Notice Period: Only immediate Joiners

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