AI Engineer

We are looking for an experienced AI Engineer to design, develop, implement, and deploy artificial intelligence and machine learning solutions. The ideal candidate should have strong experience in Python programming, machine learning, deep learning, generative AI, and cloud-based AI platforms., * Design, develop, and deploy AI and machine learning models to solve complex business problems.

• Build scalable AI applications using Python, TensorFlow, PyTorch, and Scikit-learn.
• Develop and implement Generative AI solutions using Large Language Models (LLMs).
• Work with OpenAI, Azure OpenAI, LangChain, and Hugging Face frameworks.
• Design and develop Retrieval-Augmented Generation (RAG) pipelines.
• Implement prompt engineering techniques to improve AI model accuracy and performance.
• Build AI-powered chatbots and intelligent automation solutions.
• Develop data preprocessing, feature engineering, and model training pipelines.
• Integrate AI models with REST APIs and enterprise applications.
• Work with vector databases such as Pinecone, FAISS, and ChromaDB.
• Deploy and manage AI/ML models using AWS, Azure, or Google Cloud Platform.
• Optimize model performance, scalability, latency, and resource utilization.
• Implement MLOps practices for model deployment, monitoring, and version control.
• Collaborate with data engineers, software developers, and business stakeholders.
• Ensure AI solutions follow security, governance, and responsible AI standards.

Required Technical Skills

• Programming: Python, SQL, Java
• AI/ML: Machine Learning, Deep Learning, NLP, Neural Networks
• Frameworks: TensorFlow, PyTorch, Scikit-learn
• Generative AI: LLMs, RAG, Prompt Engineering, LangChain
• Cloud: AWS SageMaker, Azure AI, Google Vertex AI
• Vector Databases: Pinecone, FAISS, ChromaDB
• DevOps/MLOps: Docker, Kubernetes, MLflow, CI/CD
• API Development: REST APIs, FastAPI, Flask
• Tools: Git, Jupyter Notebook, Hugging Face

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• Experience building and deploying production-ready AI applications.
• Strong understanding of algorithms, statistics, and model evaluation techniques.
• Experience working with enterprise-scale AI solutions.