AI Engineer

Job summary

Design, develop, and deploy agentic AI solutions and workflows using modern Microsoft frameworks. Collaborate with cross-functional teams to translate business requirements into technical AI implementations.

Job details

Key Responsibilities Design, develop, and deploy agentic AI Solutions and workflows. Build AI agents using modern Microsoft frameworks like Agent Builders, Copilot Studio, Azure AI Foundry, Agents SDKs, RAG and MCP Systems. Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. Stay updated with emerging AI technologies and industry trends. Required Skills Microsoft Copilot Studio Azure AI Foundry Agents SDK LangGraph Python Agentic AI Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Cursor AI Strong communication and stakeholder management skills

What you’ll do

Design, develop, and deploy agentic AI solutions and workflows using modern Microsoft frameworks. Collaborate with cross-functional teams to translate business requirements into technical AI implementations.

Requirements

Requires proficiency in Python and specialized AI tools such as Azure AI Foundry, Copilot Studio, and RAG. Candidates should have strong communication skills and experience with agentic AI frameworks.

Listed skills

• Stakeholder Management · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Microsoft Copilot Studio
• Azure AI Foundry
• Agents SDK
• LangGraph
• Python
• Agentic AI
• Retrieval-Augmented Generation (RAG)
• Model Context Protocol (MCP)
• Cursor AI
• Stakeholder Management

Job areas

• Software
• Technology
• Engineering
• Data & Analytics
• Consulting