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Posted:1 week ago| Platform: Linkedin logo

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Skills Required

retrieval design power ai model architecture code prototyping hubspot data prototype writing automation crm development microservices

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Backend RAG Engineer

Location:

Hinjewadi Phase1 ,Pune (Onsite)

Experience:1-3

Employment Type:

Full-timeWe are seeking a highly skilled

Backend RAG (Retrieval-Augmented Generation) Engineer

to design, develop, and maintain RAG-based systems that power intelligent enterprise solutions. The ideal candidate will work within an existing RAG framework, take ownership of critical modules, and seamlessly integrate AI solutions with business tools such as CRMs and email platforms.This role involves deploying

Model Context Protocol (MCP) servers

, adapting to an evolving, event-driven, horizontally scalable architecture, and ensuring production-quality code with rapid prototyping capabilities.

Key Responsibilities

  • Build and maintain Retrieval-Augmented Generation (RAG) pipelines
  • Take ownership of individual modules within an existing RAG framework
  • Deploy and manage MCP (Model Context Protocol) servers
  • Integrate AI solutions with enterprise tools like HubSpot, CRMs, email systems, and internal data sources
  • Work with event-driven and horizontally scalable backend architectures
  • Prototype quickly while writing clean, maintainable, production-ready code
  • Contribute to evolving system design and data architecture

Technical Skills Required

  • Primary: Strong experience with LlamaIndex (preferred over LangChain) for building RAG pipelines
  • Hands-on experience with complex RAG architectures integrating 10–12 heterogeneous data sources
  • Familiarity with automation and building actionable AI-driven workflows
  • Experience integrating with CRM systems (e.g., HubSpot), email platforms, and APIs
  • Solid understanding of scalable backend development and cloud deployments
  • Bonus: Experience in event-driven architecture, microservices, and AI product engineering

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