We are seeking a skilledAIEngineer to design, develop, and deploy intelligent tools that leverage big data infrastructure and modernAIarchitectures. This role requires a strong foundation in software engineering and the ability to deliver production-readyAIapplications. You will be instrumental in building scalable web applications, spanning intuitive front-end interfaces to robust back-end services and data pipelines.

Responsibilities:

• Develop intelligent, self-service user experiences by integrating pre-trained LLMs (e.g., OpenAI, Claude) and machine learning frameworks into customer-facing applications.
• Design and implement end-to-end features for a chat-based data interaction platform.
• Build responsive, user-friendly front-end interfaces using modern frameworks such as React, Vue, or Streamlit.
• Develop scalable back-end services and APIs using Python (Fast API, Flask) or Node.js.
• Enhance and maintain software systems supporting generativeAIinitiatives.
• Deliver full-stackAI-powered applications using Python and contemporary UI frameworks.
• Collaborate with cross-functional teams to solve complex challenges and integrate scalable, cloud-basedAIsolutions.
• Rapidly prototype, test, and iterate onAItools with a focus on performance, flexibility, and scalability.
• Maintain comprehensive technical documentation, conduct code reviews, and support the full software development lifecycle.
• Design and implement DevOps pipelines to support release management.

Minimum (Required):

Years

Skills/Experience

7

Experience in software development, including at least two years focused onAI/ML technologies and over four years of hands-on expertise with Python.

Python, MS Azure AI Stack, AI Search, Content Understanding, MS Foundry, MAF, Git

Proficiency in Python, Node.js, and React.js, with a strong background in backend services and data processing.

Experience with cloud platforms (preferably Azure) and CI/CD pipelines.

Solid understanding of authentication, authorization, and data protection best practices.

Strong problem-solving abilities and effective communication skills.

Hands-on experience with generativeAIframeworks and models (e.g., LangChain, OpenAI APIs)..

Familiarity with LLMs, vector databases, and retrieval systems.

Programmatic Integration with Microsoft 365 Using Graph API and Entra ID Authentication

Preferred (Optional):

Years

Skills/Experience

Knowledge of data visualization libraries and dashboarding tools.

Exposure to containerization technologies such as Docker and Kubernetes.

Familiarity with DevOps tools including Jenkins and Azure DevOps.

Understanding of database and data engineering fundamentals.

Experience with Model Context Protocol (MCP) integration and server development.

Bachelors or Masters degree in Computer Science, Engineering, or a related field