GenAI Engineers

Top Gen AI Jobs

Chennai District

On-site

INR 4,031,000 - 6,447,000

Full time

5 days ago

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Job summary

xtagservices is hiring GenAI Engineers to build and deploy enterprise GenAI solutions across Hyderabad, Chennai, Bangalore and Pune. The role demands strong hands-on GenAI experience and expertise in LLMs, vector databases, and model deployment.

Candidates should be proficient with RAG pipelines, AI agent frameworks, and scalable AI systems. Open positions total six, with considerable growth potential in a dynamic enterprise setting.

Qualifications

5–11 years of hands-on GenAI experience.
Experience building and deploying GenAI solutions.
Experience with model fine-tuning, experimentation, deployment, and monitoring.
Strong production-grade AI/ML systems knowledge.

Responsibilities

Develop GenAI solutions.
Build RAG-based applications using LLMs and Vector DBs.
Work with AI Agent frameworks and orchestration.
Handle model fine-tuning, experimentation, deployment, and monitoring.
Support scalable and secure enterprise GenAI solutions.

Skills

LLM

RAG

Gen AI

OpenAI

Gemini

Vector Database

Prompt Engineering

Fine-tuning

Machine Learning

BERT

LLaMA

Model Deployment

MLflow

TensorFlow

PyTorch

Tools

Docker

Kubernetes

Job description

Job Description:

Home/Jobs/GenAI Engineers

GenAI Engineers

Xtagservices.com

Hyderabad / Chennai / Bengaluru / Pune

5-11 years

Today

$42.2K–67.5K/yr

Full-time

Onsite

Skills Required

LLM
RAG
Gen AI
OpenAI
Gemini
Vector Database
Prompt Engineering
Fine-tuning
Machine Learning
BERT
LLaMA
Model Deployment
MLflow
TensorFlow
PyTorch

Description

Hiring GenAI Engineers for multiple positions. The role focuses on building and deploying enterprise Generative AI solutions with strong hands-on implementation experience.

Company:

xtagservices

Role:

GenAI Engineers

Location:

Hyderabad | Chennai | Bangalore | Pune

Experience

5–11 years
Strong hands-on experience in GenAI
Experience building and deploying GenAI solutions
Experience with model fine-tuning, experimentation, deployment, and monitoring
Strong understanding of production-grade AI/ML systems

Responsibilities

Develop GenAI solutions
Build RAG-based applications using LLMs and Vector DBs
Work with AI Agent frameworks and orchestration
Handle model fine-tuning, experimentation, deployment, and monitoring
Support scalable and secure enterprise GenAI solutions

Additional Responsibilities

Open positions: 6
Budget up to 4x Max

More Skills

AI Agent development, RAG Pipeline Development, Model Design, Monitoring, Docker, Kubernetes, LLM Integration, Scalable AI Deployment, AI Security, Compliance

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