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).