Lead AI Engineer || Immediate Joiner

Posted 16 Days Ago
Be an Early Applicant
Hiring Remotely in Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office or Remote
Entry level
Cloud • Database
The Role
Build Databricks data ingestion pipelines and AI applications using PySpark, FastAPI, React, Claude APIs, RAG, and Databricks services. Design cloud and network architectures, configure Azure resources, develop full-stack solutions, and automate deployments through Azure DevOps CI/CD. Implement testing, security remediation, validation scans, prompt engineering, AI guardrails, caching, and documentation while collaborating with technical and client stakeholders in short sprint cycles.
Summary Generated by Built In

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 Agents,Genie 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 TDD,FDD,DFD and SD’s

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.

Requirements

Please share your resume to [email protected] for a quick response.

Along with sharing the profile, kindly share the below details:

Total Years:

Relevant Years:

Current CTC:

Expected CTC:

Notice Period: Only immediate Joiners

Skills Required

  • Experience designing solution and data architectures for cloud applications
  • Experience with Microsoft Azure resource configuration and cloud security reviews
  • Strong PySpark and PySQL skills
  • Experience building Databricks data ingestion pipelines from sources such as SAP and web scraping
  • Knowledge of Databricks Unity Catalog permissions
  • Experience with OBO tokens and Service Principal configuration for Databricks Agents, Genie Spaces, machine learning, and foundation models
  • Ability to build and deploy Databricks Apps using Visual Studio Code
  • Experience sending custom notifications through APIs and team channel webhooks
  • Experience with FastAPI and React for single-page applications and chat interfaces
  • Experience with Claude models or APIs, including Claude Vision API
  • Knowledge of prompt engineering, token economics, NLP, AI safety guardrails, and caching mechanisms
  • Experience developing Retrieval-Augmented Generation solutions, AI Search indexes, and hierarchical chunking
  • Ability to understand and troubleshoot full-stack systems across frontend, backend, middleware, data layers, and routes
  • Ability to remediate security findings and rewrite application code
  • Experience creating Azure DevOps CI/CD pipelines for bots, web applications, and Databricks deployments
  • Experience implementing Snyk scans, linting, validation steps, and environment-specific deployment configurations
  • Ability to work as an individual contributor in short sprint cycles
  • Immediate availability to join
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The Company
HQ: Minneapolis, MN
19 Employees
Year Founded: 2018

What We Do

Enable Data specializes in advanced data, application and cloud solutions working on cutting-edge projects driving innovation and transformation for our customers. We empower our customers to leverage modern solutions to deliver increased value across their business ecosystem. We help clients by providing consulting, managed project and staff augmentation services working with clients across various industries including healthcare, financial, media, insurance, and manufacturing.

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