- Build and deploy AI agents for business use cases.
- Develop multi-agent workflows, including tool calling, memory, and reasoning capabilities.
- Design and implement MCP (Model Context Protocol) integrations.
- Create reusable AI skills, tools, and agent capabilities.
- Deploy and manage AI solutions in Azure AI Foundry.
- Integrate agents with SharePoint, Microsoft Graph, Databricks, APIs, and other enterprise systems.
- Implement RAG solutions, vector search, grounding, and citation frameworks.
- Develop APIs and backend services to support AI applications.
- Configure observability, monitoring, evaluation, and logging.
- Ensure adherence to security, governance, and Responsible AI standards.
Required Skills -
- Python/Node JS
- Azure AI Foundry
- Azure OpenAI
- Agentic AI and Multi-Agent Frameworks
- MCP (Model Context Protocol)
- RAG and Vector Databases
- AI Skills and Tool Development
- REST APIs and Integration Patterns
- Microsoft Graph API
- SharePoint Integration
- Git, CI/CD, and DevOps Practices
- Prompt Engineering and LLM Evaluation