Job Summary : We are looking for a skilled Senior AI Engineer with 4-9 years of experience in GenAI core skills including RAG pipelines, Langchain, Agentic AI frameworks, Python, FastAPI, and Azure AI services.What you will do : - Design, develop, and deploy scalable GenAI solutions using LLMs, RAG architectures, and Azure cloud.- Lead the development and implementation of LLM- and RAG-based applications, ensuring adherence to ML and DL best practices.- Build and maintain AI pipelines including data cleaning, pre-processing, feature engineering, training, validation, and inference.- Design and optimize Retrieval-Augmented Generation (RAG) workflows using vector databases (e.g., FAISS, Azure AI Search, Weaviate).- Deploy GenAI solutions using Azure OpenAI, Blob Storage, Cosmos DB, Key Vault, and Azure Container Apps.- Evaluate model performance and factuality using RAGAS, and apply iterative improvements.- Use orchestration frameworks such as LangChain,



LangGraph, or AutoGen for scalable and modular GenAI workflows.- Collaborate with DevOps and infrastructure teams for deployment, monitoring, and logging of AI systems.- Conduct code reviews, mentor junior developers, and promote clean, maintainable code.- Document AI architecture, pipelines, and decisions to support transparency and knowledge sharing.Tech Stack : Python, Transformers, Azure OpenAI, Weaviate/Azure AI Search, RAGAS, LangChain, Cosmos DB, FastAPI, containerization, and prompt engineering.Requirements : - 2+ years of experience in GenAI core skills (RAG, Langchain, Agentic AI).- 3-5 years of experience in Python.- 2-3 years of experience in API creation using FastAPI.- 1-2 years of experience in Azure AI services. (ref:hirist.tech)

📌 Senior AI Engineer (Hyderabad)
🏢 Prompt Smart Solutions
📍 Hyderabad