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.