AI Engineer

Key Responsibilities: AI Agent Development & Autonomous Systems Develop AI/ML-powered autonomous agents using Azure AI Foundry, Azure Agent AI Service, LangGraph, AutoGen, and Semantic Kernel Design and implement multi-agent AI workflows with reasoning, goal-driven planning, and adaptive memory Utilize Semantic Kernel for long-term memory, function calling, and RAG-based workflows Orchestrate and fine-tune AI models in production environments using Azure AI Foundry LLM & AI Integration in Full-Stack Applications Deploy GPT-4, Phi-3, and Hugging Face models on Azure OpenAI for enterprise applications Integrate LLM-based services into .NET and Node.js APIs Develop AI-powered UIs using React.js, embedding natural language interfaces and AI copilots Implement vector search and retrieval with Azure Cognitive Search, Pinecone, and FAISS Full-Stack AI Application Development Build backend AI APIs using .NET Core or Node.js integrated with Azure AI services Develop interactive AI-driven frontends using React.js, TypeScript, and Microsoft Fluent UI Implement AI-assisted chatbots, copilots, and workflow automation in enterprise applications Ensure scalability, performance, and security of AI-powered web applications Enterprise AI & Microsoft Ecosystem Integration Build LLM-driven enterprise copilots for Microsoft 365, Teams, and Power Platform Develop AI-powered assistants and chatbots integrating with Microsoft Graph API & Azure AI Studio Automate workflows using AI agents in Power Automate and Azure Logic Apps Enhance enterprise search and knowledge management using Azure Cognitive Search and vector databases AI Performance Optimization & Responsible AI Optimize LLM token usage, reduce latency, and improve cost efficiency Implement prompt engineering, retrieval caching, and fine-tuned model deployment Ensure compliance with Azure AI Content Safety, Responsible AI principles, and enterprise AI governance Build monitoring and explainability tools to track LLM outputs and mitigate risks Collaboration & AI Strategy Collaborate with Data Scientists, Software Engineers, and Cloud Architects for AI-driven solutions Advocate for multi-agent AI engineering and AI-assisted application development best practices Stay updated with Azure AI innovations and enterprise AI trends Contribute to open-source AI projects and Microsoft AI research initiatives Preferred Qualifications: Microsoft AI Certifications (Azure AI Engineer Associate, AI-102, DP-100) Experience with multi-modal AI models, LLMOps, and Reinforcement Learning from Human Feedback (RLHF) Background in cognitive architectures, explainable AI (XAI), and enterprise AI governance Contributions to open-source AI frameworks (LangGraph, AutoGen, Semantic Kernel, Transformers)