Assist in developing and deploying AI-driven solutions using pro-code tools, Azure AI Foundry, and related services.
Support configuration and testing of intelligent agents across cloud (Azure) environments.
Collaborate on building and optimizing AI systems and integrations under senior guidance.
Help implement data ingestion, transformation, and validation workflows to support optimizing data for AI workloads.
Participate in AI driven data discovery and exploration.
Learn and apply best practices for security, compliance, and responsible AI solution development.
Create documentation of technical processes and solution designs.
Engage in team discussions and knowledge-sharing sessions to grow technical expertise.

Bachelor’s degree in computer science, Engineering, or a related field.
Microsoft certifications such as Azure AI Engineer Associate are highly preferred.
At least 2 years of hands-on experience designing, building, and deploying AI solutions within the Microsoft ecosystem.
Exposure to generative AI, large language models (LLMs), and prompt engineering.
Strong familiarity with Microsoft Azure cloud services.
Experience in developing and integrating web services.
Proficiency in .NET and Python for AI solution development.
Ability to integrate AI models into enterprise applications using REST APIs and SDKs.
Familiarity with Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocols; implementation experience will be highly valued.
Experience with AI orchestration frameworks such as Semantic Kernel, LangChain, or similar tools for agent orchestration.
Clear and effective verbal and written communication for both technical and non-technical audiences.
Confident presentation skills, including the ability to explain complex concepts to senior clients.

AI Engineer

Key skills