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.