AI Data Engineer (GenAI | LLM | RAG | Python)

Vrinda International; Hyderabad; Hybrid; INR 2,430,000 - 2,970,000; Full time

Job summary

Vrinda International invites experienced developers to join its AI-driven IT talent and data engineering initiatives. The role demands 7+ years of software development or data engineering, with strong Python expertise and GenAI/Large Language Model experience.

You will shape AI-enabled data pipelines, backend services, and scalable microservices within enterprise environments. The position offers hybrid work, immediate to 15 days notice, and a competitive CTC up to ₹27 LPA in India.

Qualifications

• 7+ years of software development or data engineering experience.
• Strong hands-on experience in Python.
• Expertise in Generative AI (GenAI), Large Language Models (LLMs), and RAG.
• Experience building AI-enabled data pipelines and enterprise AI applications.
• Strong knowledge of REST APIs, backend development, and microservices.
• Experience working with enterprise data platforms, SQL, and NoSQL databases.
• Good understanding of AI model deployment, optimization, and production environments.
• Strong analytical, problem-solving, and communication skills.

Skills

Python

GenAI & LLMs

RAG

REST APIs

Backend development

Microservices

SQL & NoSQL

AI model deployment

Analytical skills

Communication

Job description

Welcome to Vrinda International's Talent Portal

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Job Description

Employment Type: Full-Time

Experience: 7+ Years

CTC: Up to ₹27 LPA

Work Mode: Hybrid

Notice Period: Immediate to 15 Days Preferred

Requirements

Required Skills

• 7+ years of software development or data engineering experience.
• Strong hands-on experience in Python.
• Expertise in Generative AI (GenAI), Large Language Models (LLMs), and RAG.
• Experience building AI-enabled data pipelines and enterprise AI applications.
• Strong knowledge of REST APIs, backend development, and microservices.
• Experience working with enterprise data platforms, SQL, and NoSQL databases.
• Good understanding of AI model deployment, optimization, and production environments.
• Strong analytical, problem-solving, and communication skills.