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