V

GEN AI Consultant

Virtusa
1 day ago
Full-time
On-site
India

Job Title\: Generative AI Developer

Experience\: 3–5 Years

Location\: Hybrid/Hyderabad

Employment Type\: Full-time

Job Summary

We are seeking a Generative AI Developer with strong expertise in Azure and modern LLM

ecosystems. The candidate will be responsible for building scalable, production-ready GenAI

applications using Retrieval-Augmented Generation (RAG), LLMs, and multi-model integrations

(including Claude and Gemini). This role requires hands-on coding experience and deep

understanding of end-to-end AI solution development.

Key Responsibilities

● Design and develop Generative AI solutions using Azure AI services and LLMs

● Build and implement RAG pipelines integrating vector databases and knowledge

sources

● Develop and optimize prompt engineering strategies across multiple LLMs (Claude,

Gemini, etc.)

● Integrate and orchestrate LLM-based applications using MCP (Model Context Protocol)

● Develop backend services and APIs using Python

● Work with Azure OpenAI, Azure AI Studio, and Azure Machine Learning for deployment

and scaling

● Ensure performance, security, and cost optimization of AI solutions

● Collaborate with cross-functional teams to translate business requirements into AI

solutions

● Evaluate and compare outputs across different LLM providers and optimize accordingly

Mandatory Skills

● Strong programming skills in Python

● Hands-on experience with Retrieval-Augmented Generation (RAG)

● Solid experience with Azure AI ecosystem (Azure OpenAI, Azure ML, AI Studio)

● Practical experience working with Large Language Models (LLMs)

● Experience with Claude (Anthropic) and Gemini (Google) models

● Knowledge or experience with MCP (Model Context Protocol) for LLM orchestration

and integrations

● Experience in building and deploying scalable AI/ML applications

Required Skills & Qualifications

● 3–5 years of experience in AI/ML, software development, or related field

● Experience with NLP, prompt engineering, and LLM fine-tuning or adaptation

● Familiarity with vector databases (FAISS, Pinecone, or Azure Cognitive Search)

● Experience building REST APIs and microservices

● Understanding of cloud-native architectures and CI/CD pipelines

● Strong problem-solving and analytical skills