Artificial Intelligence Engineer-Python,Agentic AI,Azure

Key Responsibilities

Agentic AI & Generative AI

• Design and develop autonomous AI agents using modern agent frameworks.
• Build multi-agent workflows for task automation and decision-making.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Fine-tune, evaluate, and optimize Large Language Models (LLMs).
• Implement prompt engineering, prompt management, and AI safety guardrails.
• Integrate LLMs with enterprise applications and APIs.

Python Development

• Develop scalable backend services using Python.
• Build RESTful APIs using FastAPI or Flask.
• Write clean, reusable, and production-quality code.
• Implement data processing and orchestration workflows.

Azure Cloud

• Develop AI solutions using Azure AI services.
• Deploy and manage applications on Azure cloud infrastructure.
• Utilize Azure Machine Learning for model training and deployment.
• Work with Azure Functions, Azure Kubernetes Service (AKS), Azure Storage, Azure Key Vault, and Azure AI Search.
• Implement cloud-native and scalable architectures.

Machine Learning & Data Science

• Build, train, and deploy machine learning models.
• Perform feature engineering, model evaluation, and performance optimization.
• Work with structured and unstructured datasets.
• Implement monitoring and drift detection mechanisms.

MLOps & DevOps

• Design CI/CD pipelines for ML and AI applications.
• Automate model deployment, versioning, testing, and monitoring.
• Use Docker and Kubernetes for containerization and orchestration.
• Implement model governance and lifecycle management.
• Monitor production systems and optimize performance.

Can share CV on [email protected]