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.