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AI Engineer

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Onsite

AI Engineer

EXL

AI Engineer

Skills

SQL QueriesData MiningNodeTypescriptPythonDatabricksMachine LearningAIAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,700,000 – ₹3,200,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

12 August 2026

What they need


Work Mode: Work From Office 5 Days a Week

MCP Server Engineer

Experience: 5+ Years
Location: Gurgaon / Bangalore

Roles & Responsibilities

  • Design, build, and maintain secure connectors and pipelines between Databricks workspaces (Delta Lake, Unity Catalog) and Model Context Protocol (MCP) servers.
  • Implement and configure MCP servers/clients to securely expose Databricks data, schemas, and analytical tools to AI models and LLM applications.
  • Optimize data retrieval, caching mechanisms, and query performance between Databricks and LLM orchestration frameworks to minimize latency.
  • Ensure all data exposed through MCP servers adheres to enterprise data governance, access controls, and Unity Catalog permissions.
  • Collaborate with AI/ML Engineers, Data Scientists, and Software Architects to define the context, tools, and prompts required for LLM applications to effectively query Databricks.
  • Establish robust logging, error handling, monitoring, and alerting for Databricks-MCP middleware to ensure high availability and reliability.

Required Qualifications

  • Proven hands-on experience building, configuring, or extending MCP servers using Python or TypeScript/Node.js SDKs to connect LLMs with external data sources.

  • Strong production experience with Databricks, including:

  • Delta Lake

  • Unity Catalog

  • Databricks SQL

  • Managed MLflow

  • Strong understanding of SSE (Server-Sent Events), WebSockets, and JSON-RPC 2.0 protocols that underpin MCP communication.

  • Experience integrating AI/LLM applications with enterprise data platforms and external data sources.

  • Strong understanding of secure data access, authentication, authorization, and enterprise data governance.

Education

Bachelor’s degree in Computer Science, Software Engineering, MIS, or an equivalent combination of education and relevant experience.

Key Skills

  • MCP Server / Model Context Protocol
  • Python
  • TypeScript / Node.js
  • Azure Databricks
  • Delta Lake
  • Unity Catalog
  • Databricks SQL
  • Managed MLflow
  • LLM / Generative AI
  • SSE / WebSockets
  • JSON-RPC 2.0
  • Data Governance & Security

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