Gen AI Engineer

Job description

**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