Artificial Intelligence Engineer

Role & responsibilities

Preferred candidate profile

The AI Engineer associate will be responsible for delivering high-quality, data-driven AI solutions to meet and exceed client expectations. Standard work includes:

• Developing and implementing GenAI solutions and algorithms.
  • Analyzing large datasets to extract insights and improve model performance. • Collaborating with data scientists, software engineers, and product managers to deliver high-quality AI solutions. • Conducting research to identify new AI technologies and methodologies. • Design, develop, and deploy AI-powered applications using Python and FastAPI. • Integrate Azure OpenAI and Azure AI Foundry into production-ready systems. • Implement agentic AI and multi-agent frameworks for complex orchestration tasks. • Leverage LangChain or similar LLM frameworks for conversational and reasoning-based AI workflows. • Develop and manage Azure Functions for scalable AI application components. • Ensure smooth end-to-end deployment pipelines on Azure, including security, scalability, and monitoring. • Work with MCP (Model Context Protocol) for multi-model, multi-agent integrations. • Collaborate with cross-functional teams to refine AI use cases and optimize performance. • Use Git/GitHub for version control, branching, code reviews, and CI/CD integration Knowledge and Skills Requirements
• Strong Python programming skills with proven project experience.
  • Proficiency in FastAPI for building high-performance APIs. • Experience with Azure OpenAI, Azure AI Foundry, and Azure Functions. • Solid understanding of agentic AI concepts, multi-agent AI frameworks, and AI orchestration. • Hands-on experience with LLMs and frameworks like LangChain. • Working knowledge of MCP and AI system integrations. • Experience with Azure deployment pipelines (CI/CD, containers, scaling).