AI Engineer (Python, Machine Learning & Generative AI)

Job Title: AI Engineer (Python, Machine Learning & Generative AI) Experience developing REST APIs using FastAPI or Flask. We are looking for an AI Engineer with 3+ years of experience in Artificial Intelligence, Machine Learning, and Generative AI. The ideal candidate will have hands-on experience developing AI-powered applications using Python, Large Language Models (LLMs), LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). You will work on designing, building, and deploying scalable AI solutions for enterprise applications. Key Responsibilities ● Develop and deploy AI and Machine Learning solutions using Python. ● Build LLM-powered applications using LangChain and LangGraph. ● Design and implement Retrieval-Augmented Generation (RAG) pipelines with vector databases. ● Develop AI agents and conversational AI applications. ● Train, evaluate, and optimize machine learning and deep learning models. ● Build REST APIs using FastAPI or Flask to integrate AI services. ● Integrate AI applications with enterprise systems, databases, and third-party APIs. ● Work with structured and unstructured data for model training and inference. ● Deploy AI applications using Docker and cloud platforms such as AWS, Azure, or GCP. ● Collaborate with cross-functional teams to deliver AI-driven business solutions. ● Troubleshoot, optimize, and maintain AI applications in production. Required Qualifications ● Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field. ● 3+ years of experience in AI, Machine Learning, or Software Development. ● Strong programming skills in Python. ● Hands-on experience with TensorFlow, PyTorch, or Scikit-learn. ● Experience building applications with Large Language Models (LLMs). ● Experience with LangChain and LangGraph. ● Hands-on experience implementing Retrieval-Augmented Generation (RAG). ● Experience with vector databases such as Pinecone, ChromaDB, FAISS, or Milvus. ● Knowledge of SQL and NoSQL databases. ● Experience with Git, Docker, and CI/CD pipelines. ● Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform). Preferred Qualifications ● Experience with OpenAI, Anthropic, or open-source LLMs. ● Knowledge of prompt engineering, function calling, and AI agent frameworks. ● Familiarity with Hugging Face Transformers and LlamaIndex. ● Experience with Kubernetes and MLOps tools such as MLflow or Kubeflow. ● Exposure to NLP, deep learning, or computer vision.