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AI Engineer

  • Source: Naukri
  • Aays Advisory
  • Remote
  • India
  • Full-Time
  • Mid level

Job Description

Open Positions
• AI Engineer (5+ years)
• Senior/Lead Agentic AI Engineer (8+ years)

What is in it for you:

• Opportunity to work with a world class team of business consultants and engineers solving some of the most complex business problems by applying data and analytics techniques

• Fast track career growth in a highly entrepreneurial work environment

• Best-in-industry renumeration package

What You Will Build
As part of our engineering team, you will move beyond standard API integration to develop production-grade Agentic AI systems, focusing on:
• Autonomous reasoning and multi-agent ecosystems
• Advanced Retrieval-Augmented Generation (RAG) and workflow orchestration
• Enterprise system integration and intelligent process automation
• Secure, scalable deployments for global clients

The Technology Stack
• AI & Orchestration: LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, MCP
• Cloud AI Platforms: AWS Bedrock, Azure AI Foundry, Google Vertex AI
• Knowledge Systems: Vector Databases, Semantic Search, Document Processing (GraphRAG is a plus)
• Engineering Foundation: Python, Microservices, REST APIs, Cloud Architecture

Who We Are Looking For
• Strong Python and backend fundamentals with proven, hands-on exposure to LLMs or RAG application development.
• Solid engineering background with 1-2+ years of experience actively deploying GenAI or Agentic solutions into production environments.
• Deep architectural expertise in designing scalable multi-agent ecosystems, driving AI strategy, ensuring enterprise security, and mentoring engineering teams.

Skills

  • LangChain
  • LangGraph
  • LlamaIndex
  • crewai
  • amazon-web-services
  • bedrock
  • microsoft-azure
  • google-ai-platform
  • vertex
  • processing-js
  • graphrag
  • Python

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