Description

Key Responsibilities

• Participate in Agile ceremonies, including sprint planning, stand-ups, retrospectives, and backlog refinement sessions.
• Collaborate with product owners, architects, and development teams to understand requirements and design scalable solutions.
• Design, develop, test, and deploy AI-powered applications and services.
• Build and integrate Large Language Model (LLM)-based solutions using Azure OpenAI technologies.
• Develop and maintain agentic workflows and AI agent architectures.
• Integrate applications with cloud services, APIs, and enterprise platforms.
• Create and maintain technical documentation and design artifacts.
• Ensure adherence to security, compliance, and engineering best practices.
• Support production deployments and troubleshoot application issues.

Required Skills & Experience

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

Preferred Qualifications

• Experience building enterprise AI applications.
• Hands-on experience with Retrieval-Augmented Generation (RAG) architectures.
• Understanding of vector databases and embedding-based retrieval systems.
• Experience with data pipelines and data integration frameworks.
• Knowledge of AI security, governance, and compliance practices.
• Experience with modern AI orchestration frameworks and agent platforms

Key Skills

Education

Bachelor's degree