Description

You will design, develop, and deploy AI-powered applications and LLM-based solutions using Azure OpenAI technologies. This role focuses on building agentic workflows, integrating enterprise platforms, and ensuring secure, scalable production deployments.

This role is hybrid.

Responsibilities

• Design and implement Large Language Model (LLM) solutions and agentic AI architectures using Azure OpenAI SDKs and APIs.
• Develop and maintain AI agent workflows, including Model Context Protocol (ClientP) integration.
• Build and deploy applications using containerization technologies like Docker and Kubernetes.
• Collaborate with product owners and architects in Agile ceremonies to define requirements and deliver scalable solutions.
• Ensure adherence to security, compliance, and engineering best practices during development and production support.

Required Skills

• Strong proficiency in Python software development.
• Hands-on experience with Large Language Models (LLMs) and prompt engineering.
• Expertise with Azure OpenAI SDKs, APIs, and deployment strategies.
• Experience with containerization using Docker and Kubernetes.
• Knowledge of Agentic AI systems and Model Context Protocol (ClientP).
• Experience integrating applications with cloud platforms and REST APIs.
• Proven ability to work within Agile development environments.

Preferred Skills

• Experience building enterprise AI applications and modern AI orchestration frameworks.
• Hands-on experience with Retrieval-Augmented Generation (RAG) architectures and vector databases.

Key Skills

Education

Bachelor's degree