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AIML Agentic Engineer

NR Consulting - India · Malad, Mumbai, MH

Strong hiring record · median 10 days open

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Posted today · still listed on the employer's own board · How we score

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  • Posted today
  • Still listed on the employer's own board

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AIML Agentic Engineer at NR Consulting - India. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

Title

AIML Agentic Engineer

Location

Malad,Mumbai

Exp

9+ Yrs

Job Description

Key Responsibilities

  • Design, develop, and deploy enterprise-grade AI applications using Generative AI, Agentic AI, and RAG architectures.
  • Build intelligent AI agents using modern Agentic AI frameworks.
  • Develop MCP (Model Context Protocol)-based integrations with enterprise platforms, applications, and developer tools.
  • Design enterprise AI architectures integrating LLMs, vector databases, enterprise APIs, and backend systems.
  • Implement advanced prompt engineering and context engineering techniques.
  • Develop tool-calling and function-calling capabilities for AI agents.
  • Build and optimize RAG pipelines for efficient information retrieval and contextual responses.
  • Integrate LLM-based solutions with enterprise applications and backend systems.
  • Ensure scalability, performance, security, and reliability of AI-powered solutions.
  • Collaborate with architects, developers, security teams, and operations teams to deliver secure and compliant AI solutions.
  • Drive technical design and implementation of AI solutions from development through deployment.

Required Skills & Experience

  • 9+ years of overall IT experience.
  • Strong hands-on experience in Generative AI and Agentic AI development.
  • Proven experience in designing and implementing Retrieval-Augmented Generation (RAG) solutions.
  • Strong understanding of Large Language Models (LLMs) and their enterprise applications.
  • Hands-on experience with Agentic AI frameworks and AI agent development.
  • Experience in developing MCP (Model Context Protocol)-based integrations.
  • Good knowledge of vector databases and semantic search.
  • Strong experience in prompt engineering and context engineering.
  • Hands-on experience with tool calling and function calling.
  • Experience integrating LLMs with enterprise APIs and backend systems.
  • Understanding of enterprise AI architecture, security, and compliance requirements.

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