AI Engineer – Copilot, Bot & Automation Developer

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AI Engineer – Copilot, Bot & Automation Developer

CleanMax – Mumbai, India

ROLE
– Design and develop AI-powered bots, copilots, AI agents, and virtual assistants
– Build enterprise AI applications using OpenAI / Azure OpenAI, NLP, Prompt Engineering, and RAG
– Develop and deploy bots/apps on Microsoft Teams and Azure platforms
– Develop workflow automation solutions using Power Apps, Power Automate, SharePoint, and SQL workflows
– Create conversational AI solutions with semantic search and AI-powered knowledge retrieval
– Integrate enterprise applications using REST APIs, Graph API, and webhooks
– Develop AI-enabled knowledge management and intelligent automation solutions
– Implement authentication, RBAC, SSO, and secure API integrations
– Work closely with business stakeholders to deliver enterprise AI solutions
– Maintain technical documentation, architecture diagrams, and SOPs

REQUIREMENTS
– AI application development
– Generative AI architecture
– AI orchestration frameworks
– AI Agent development
– Conversational AI
– Prompt Engineering
– Semantic search
– LLM integration and optimization
– AI workflow automation
– AI governance and Responsible AI practices
– OpenAI / Azure OpenAI
– Claude AI
– Gemini AI
– Copilot extensibility & plugin development
– Microsoft 365
– Microsoft Copilot Studio
– Power Apps
– Power Automate
– Power Virtual Agents
– SharePoint Online
– Microsoft Teams App Development
– Microsoft Graph API
– Dataverse
– Python
– JavaScript / TypeScript
– HTML/CSS
– REST APIs
– JSON
– API integrations
– SQL Server / MySQL
– Query optimization
– Stored procedures
– Data integration workflows
– SQL-based automation logic
– Azure App Services
– Azure Functions
– Azure Bot Services
– Azure Logic Apps
– Azure Storage
– Azure AI Studio
– Azure OpenAI integration
– Azure AD / Entra ID
– LangChain
– Semantic Kernel
– Adaptive Cards for Teams
– OCR / Document Intelligence automation
– AI-powered document processing
– Workflow orchestration
– CI/CD basics
– GitHub / Azure DevOps
– Docker basics
– Kubernetes basics
– Redis caching
– Enterprise application integration
– SAP / ERP / CRM integrations
– Authentication & RBAC implementation
– SSO / OAuth integrations
– Power BI integration
– AI security and governance
– Responsible AI implementation
– Data privacy and compliance
– Secure API integrations
– Enterprise security standards
– Authentication and authorization mechanisms
– Governance for enterprise AI systems
– Microsoft Certified: Power Platform Developer Associate
– Microsoft Certified: Azure AI Engineer Associate
– Microsoft Certified: Azure Developer Associate
– Microsoft 365 Certified Fundamentals
– Strong analytical and problem-solving skills
– Excellent communication and stakeholder management
– Ability to understand business processes and automate them
– Innovation-driven and proactive mindset
– Ability to work independently on enterprise AI initiatives
– Strong documentation and presentation skills
– Enterprise AI implementations
– Teams-based application development
– Workflow automation projects
– AI chatbot and copilot implementation
– SharePoint and Microsoft ecosystem integrations
– Intelligent document processing projects
– Large-scale enterprise automation initiatives