Agentic AI / Generative AI Engineer

Vrinda International; Hyderabad, Mumbai, Chennai District; On-site; INR 2,250,000 - 2,750,000; Full time

Job summary

Vrinda International is hiring an Agentic AI / Generative AI Engineer for a Hyderabad/Mumbai/Chennai-based role. 7+ years of experience required. Work Mode: Work From Office. Budget: Up to ₹25 LPA fixed CTC. Local candidates preferred.

The role focuses on designing enterprise AI applications using Large Language Models, Agentic AI frameworks, and RAG, with cloud AI service deployments and API integrations.

Qualifications

• Experience with Agentic AI and enterprise AI projects.
• Strong proficiency with LLMs (GPT, Claude, Gemini, Llama, Mistral).
• Hands-on in RAG pipelines and AI model integrations.
• Proven ability to deploy AI applications in production.

Responsibilities

• Design and deploy enterprise-grade AI apps using LLMs and Agentic AI.
• Build RAG pipelines and integrate with cloud AI services.
• Lead API integrations and scalable deployment workflows.

Skills

Agentic AI

LLMs

RAG

Prompt Engineering

API Integrations

AI Production Deployment

Tools

CrewAI

AutoGen

Semantic Kernel

Job description

Hyderabad, Mumbai, Chennai (Local Candidates Only), India

• City Hyderabad, Mumbai, Chennai (Local Candidates Only)


• State/Province Maharashtra


• Country India


• Zip/Postal Code Hyderabad, Mumbai, Chennai (Lo

About Us

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Job Description

We're Hiring | Agentic AI / Generative AI Engineer

Location: Hyderabad, Mumbai, Chennai (Local Candidates Only)

Experience: 7+ Years

Work Mode: Work From Office

Budget: Up to ₹25 LPA (Fixed CTC)

Notice Period: Serving Notice Period Candidates Only (August Joiners Preferred)

We are looking for an experienced Agentic AI / Generative AI Engineer to design and deploy enterprise-grade AI applications using Large Language Models (LLMs), Agentic AI frameworks, RAG, and cloud AI services.

Requirements

• Agentic AI


• LLMs (GPT, Claude, Gemini, Llama, Mistral)


• CrewAI / AutoGen / Semantic Kernel


• RAG (Retrieval-Augmented Generation)


• Prompt Engineering


• API Integrations


• Production Deployment of AI Applications