Description

You will build LLM-based decision-making agents and scalable AI infrastructure.

This role is on-site.

Responsibilities

• Design, build, and iterate on AI agents using GPT models, multi-agent frameworks, and the Microsoft AI ecosystem.
• Develop MLOps pipelines to support continuous training, deployment, and monitoring.
• Conduct behavior testing and validation focused on performance, safety, and edge cases.
• Integrate agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems.
• Apply security, compliance, and privacy best practices to all agent development.

Required Skills

• 3+ years of experience in software engineering, data science, or machine learning.
• Proficiency in Python for development and scripting.
• Hands-on experience with LLMs, prompt engineering, and the OpenAI API.
• Familiarity with Azure services and cloud infrastructure.
• Experience with CI/CD pipelines.
• Knowledge of security and data protection principles.

Preferred Skills

• Experience with multi-agent frameworks like AutoGen, Langchain, or CrewAI.
• Knowledge of MLOps practices, containerization, and infrastructure-as-code.
• Exposure to Power Platform or Microsoft Graph API.

Key Skills

Education

Any Gradute