AI Developer

• Autonomous Agent Development – building LLM-based decision-making agents and advancing conversational AI 
• AI Integration & MLOps – enabling scalable infrastructure, data pipelines, and operational excellence 
• Quality & Integration Engineering – focusing on agent behavior testing, UI/UX integration, and platform reliability 

Responsibilities 
As an AI Agent Developer, you will: 

• Design, build, and iterate on AI agents leveraging GPT models, multi-agent frameworks, and Microsoft’s AI ecosystem 
• Develop infrastructure and MLOps pipelines to support continuous training, deployment, and monitoring 
• Conduct rigorous behavior testing and validation, focusing on performance, safety, and real-world edge cases 
• Integrate AI agents with Azure AI services, Microsoft Graph API, Power Platform, and internal systems 
• Apply best practices in security, compliance, and privacy to all aspects of agent development 
• Collaborate closely with cross-functional partners including engineering, product, and design teams 
• Document agent behavior, test results, and learnings to ensure transparency and knowledge sharing 

Qualifications 

Required Qualifications: 

• 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, cloud infrastructure, and CI/CD pipelines 

Preferred Qualifications: 

• Experience working with multi-agent frameworks such as AutoGen, Langchain, or CrewAI 
• Knowledge of MLOps practices, including containerization, infrastructure-as-code, and monitoring 
• Exposure to Power Platform, Microsoft Graph API, or enterprise integration technologies 
• Strong debugging skills and a solid understanding of security and data protection principles 
• Ability to communicate technical concepts effectively with both technical and non-technical stakeholders