Description

You will design, build, and deploy AI applications leveraging LLMs and agentic frameworks.

Responsibilities

• Develop AI solutions using frameworks such as AutoGen, Semantic Kernel, and Copilot Studio.
• Implement data science and machine learning algorithms specified by Solution Architects.
• Execute all phases of the Software Development Lifecycle (SDLC): requirements, design, development, testing, deployment, and maintenance.
• Collaborate with customers and stakeholders on project status and deliverables.

Required Skills

• 5+ years of hands-on experience.
• Working experience on Azure AI Foundry and Azure services/PaaS.
• Proficiency in Python (scripting, data manipulation) and libraries like NumPy, Pandas, Matplotlib, SciKit Learn.
• Experience with GenAI/Agent frameworks: AutoGen, Semantic Kernel, Azure AI Foundry, Azure OpenAI.
• Understanding of ML fundamentals: supervised vs. unsupervised learning, neural networks, NLP.
• Familiarity with GenAI tools: MCP Server, Hugging Face Transformers, OpenAI APIs, and diffusion models.
• Ability to work across the SDLC producing clean code, testing, and documentation.

Key Skills

Education

Any Graduate