10/12/2026 updated
100 % available
Generative AI Engineer | LLM Applications | RAG Systems | Azure OpenAI
Hyderabad, India
Only remote
Bachelor of Technology (B.Tech) in Artificial Intelligence and Machine LearningAbout me
AI/ML Engineer specializing in Generative AI, LLMs, RAG pipelines, and Agentic AI. Experienced in Python, LangChain, LangGraph, and Azure OpenAI. Passionate about building practical AI solutions, solving complex problems, and delivering high-quality results.
RAGAzure OpenAIGitHubPython (Programming Language)SQL DatabasesLarge Language ModelsGenerative AIAWS ECSGitAWS Data AnalyticsDocker
Generative AI & LLM Development
Expertise in building enterprise LLM applications including RAG systems, conversational AI assistants, and AI agents using Azure OpenAI, LangChain, LangGraph, Llama 3, and Ollama, with strong knowledge of prompt engineering, embeddings, and semantic search.
Machine Learning & Deep Learning
Solid foundation in machine learning, deep learning, and natural language processing using Python, PyTorch, TensorFlow, Scikit-learn, and MLflow, with hands-on experience in predictive analytics and model optimization.
Cloud & Azure Services
Proficiency in Microsoft Azure services including Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Azure Blob Storage, as well as AWS (S3, EC2), Docker, Git, CI/CD, and Flask for deploying scalable AI solutions.
Programming & SQL
Strong programming skills in Python and SQL, including MySQL and PostgreSQL, applied across data pipelines, AI applications, and backend development.
Data Engineering & ETL Pipelines
Experience designing ETL pipelines for data cleaning, preprocessing, and transformation using Pandas, NumPy, Matplotlib, Seaborn, and web scraping tools such as BeautifulSoup.
Vector Databases & Semantic Search
Hands-on experience with vector databases such as FAISS and Azure AI Search for implementing embedding-based semantic search and retrieval-augmented generation pipelines.
Document Ingestion & Processing
Ability to design document ingestion pipelines using Azure Document Intelligence and Azure Blob Storage to extract, chunk, embed, and index enterprise documents for retrieval.
ReAct Agents & Agentic AI
Knowledge of building ReAct agents using LangChain that translate natural language queries into executable code and automate analytical workflows on structured data.
Expertise in building enterprise LLM applications including RAG systems, conversational AI assistants, and AI agents using Azure OpenAI, LangChain, LangGraph, Llama 3, and Ollama, with strong knowledge of prompt engineering, embeddings, and semantic search.
Machine Learning & Deep Learning
Solid foundation in machine learning, deep learning, and natural language processing using Python, PyTorch, TensorFlow, Scikit-learn, and MLflow, with hands-on experience in predictive analytics and model optimization.
Cloud & Azure Services
Proficiency in Microsoft Azure services including Azure OpenAI, Azure AI Search, Azure Document Intelligence, and Azure Blob Storage, as well as AWS (S3, EC2), Docker, Git, CI/CD, and Flask for deploying scalable AI solutions.
Programming & SQL
Strong programming skills in Python and SQL, including MySQL and PostgreSQL, applied across data pipelines, AI applications, and backend development.
Data Engineering & ETL Pipelines
Experience designing ETL pipelines for data cleaning, preprocessing, and transformation using Pandas, NumPy, Matplotlib, Seaborn, and web scraping tools such as BeautifulSoup.
Vector Databases & Semantic Search
Hands-on experience with vector databases such as FAISS and Azure AI Search for implementing embedding-based semantic search and retrieval-augmented generation pipelines.
Document Ingestion & Processing
Ability to design document ingestion pipelines using Azure Document Intelligence and Azure Blob Storage to extract, chunk, embed, and index enterprise documents for retrieval.
ReAct Agents & Agentic AI
Knowledge of building ReAct agents using LangChain that translate natural language queries into executable code and automate analytical workflows on structured data.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Developing AI-powered conversational applications with Azure OpenAI GPT models and Python. Building enterprise RAG systems connecting Azure AI Search and vector databases to organizational knowledge sources. Designing document ingestion pipelines with Azure Document Intelligence and Azure Blob Storage. Implementing embedding-based semantic search and prompt engineering to ground LLM answers in company data.
Built a conversational AI assistant on Azure OpenAI GPT models that answers user questions grounded in enterprise knowledge. Implemented a RAG pipeline with embedding-based retrieval and semantic search for accurate, context-aware responses. Deployed on Azure services with a focus on scalability, security, and enterprise readiness. Technologies used: Python, Azure OpenAI, Azure AI Search, Vector Database.
Built a privacy-first AI analyst that answers sales questions in natural language using Llama 3 locally via Ollama with no data leaving the machine and zero API costs. Implemented a LangChain ReAct agent that converts English questions into executable Pandas code and summarizes sales trends. Built a modular ETL pipeline for data standardization and cleaning. Technologies used: Python, LangChain, Llama 3, Ollama, Pandas.