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AI Engineer
Skills
Computer ScienceContextFoundry ManagementImplementation ExperienceIntelligent AgentsLarge Language ModelsPresentations
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in computer science Engineering or a related field
- 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 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 and Agent-to-Agent protocols
- Experience with AI orchestration frameworks such as Semantic Kernel LangChain or similar tools
- Experience with Azure AI services such as Azure OpenAI Cognitive Services Azure AI Search Speech Vision and Foundry
Nice to have
- Microsoft certifications
- Clear communicator
- Confident presenter
- Collaborative
- Problem solver
- Accountable
- Growth mindset
- Results-oriented
- Organized
Day to day
- Assist in developing and deploying AI-driven solutions using Microsoft technologies, Azure AI Foundry, and related cloud services
- Support configuration and testing of intelligent agents across Azure environments while working under senior guidance
- Collaborate on building and optimizing AI systems, data workflows, and enterprise integrations with a strong focus on security, scalability, and responsible AI
- Create clear technical documentation and contribute to team knowledge-sharing to strengthen delivery quality and technical growth