Lead Engineer – AI/ML (Generative AI & LLM)

Vrinda International; Hyderabad; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Neev Systems in Hyderabad is seeking a senior AI architect to lead the development of next-generation AI solutions using Generative AI, LLMs, and RAG. This role requires 8–12 years of experience and is a on-site position at the Hyderabad office with a 5-day workweek.

CTC up to ₹30 LPA including a 5% variable pay, with notice period of immediate to 15 days. Working hours: 10:00 AM – 7:00 PM or 2:00 PM – 11:00 PM.

Qualifications

• Strong hands-on experience with Python.
• Extensive experience in Generative AI and LLMs.
• Experience building RAG applications and AI chatbots.
• Strong understanding of embeddings and vector databases.
• Experience with ML frameworks such as TensorFlow, scikit-learn, or similar.
• Experience with AI model deployment, monitoring, and CI/CD pipelines.
• Experience with Agentic AI frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of AI architecture and enterprise AI solutions.

Responsibilities

• Lead development of next-generation AI solutions using Generative AI, LLMs and RAG.
• Oversee deployment and monitoring of enterprise AI architectures.
• Collaborate with cross-functional teams to deliver AI-powered applications.

Skills

Python

Generative AI

LLMs

RAG

Embeddings

Vector databases

TensorFlow

scikit-learn

AI deployment

CI/CD

Agentic AI

Cloud: AWS/Azure/GCP

Job description

Job Description

Join Neev Systems, a fast-growing IT Services & Consulting company, and lead the development of next-generation AI solutions using Generative AI, Large Language Models (LLMs), RAG, and Agentic AI.

Location: Hyderabad (Work from Office – 5 Days)

Experience: 8–12 Years

CTC: Up to ₹30 LPA (Including 5% Variable Pay)

Notice Period: Immediate to 15 Days Only

Shift Timings: 10:00 AM – 7:00 PM OR 2:00 PM – 11:00 PM

Requirements

Required Skills

• Strong hands-on experience with Python
  
• Extensive experience in Generative AI and Large Language Models (LLMs)
  
• Experience building RAG applications and AI chatbots
  
• Strong understanding of embeddings and vector databases
  
• Experience with Machine Learning frameworks such as TensorFlow, scikit-learn, or similar
  
• Experience with AI model deployment, monitoring, and CI/CD pipelines
  
• Experience with Agentic AI frameworks
  
• Knowledge of cloud platforms such as AWS, Azure, or GCP
  
• Strong understanding of AI architecture and enterprise AI solutions