Gen AI Engineer

Role Overview

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.

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

Requirements

• 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
• 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