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Lead Software Engineer
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CREQ256214 Requisition #

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

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