AI Integration Technical Consultant

Vrinda International; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Vrinda International is seeking a Technical Consultant specializing in AI integration to design and deploy AI-powered enterprise applications. You will build scalable solutions, integrate AI models, and ensure performance and reliability across cloud deployments with a focus on Azure and modern SDLC practices.

The role requires strong software engineering, API development, and hands-on AI/ML experience, plus familiarity with prompt engineering and Agentic AI frameworks in distributed systems.

Qualifications

• Strong software engineering and API development experience.
• Hands-on experience with AI/ML integration in applications.
• Knowledge of prompt engineering and Agentic AI frameworks.
• Experience in cloud deployment (Azure preferred).
• Understanding of scalable system design and distributed systems.
• Experience with AI SDLC tools and workflows.

Responsibilities

• Build and deploy AI-powered applications for enterprise use.
• Integrate AI models into existing enterprise software.
• Ensure scalability, performance, and reliability across deployments.

Skills

Software engineering

API development

AI/ML integration

Prompt engineering

Agentic AI frameworks

Distributed systems

AI SDLC workflows

Tools

Azure

Cloud deployment

Job description

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Job Description

Interview Mode: Face-to-face (mandatory)

Job Overview

We are seeking a Technical Consultant specializing in AI Integration with strong software engineering expertise. The role focuses on building and deploying AI-powered applications using foundation models and Agentic frameworks. The candidate will be responsible for integrating AI models into enterprise applications and ensuring scalability, performance, and reliability.

Requirements

• Strong software engineering and API development experience
  
• Hands-on experience with AI/ML integration in applications
  
• Knowledge of prompt engineering and Agentic AI frameworks
  
• Experience in cloud deployment (Azure preferred)
  
• Understanding of scalable system design and distributed systems
  
• Experience with AI SDLC tools and workflows