Python Developer
Job Summary
We are seeking a skilled Python developer to design, develop, and deploy AI-powered Microsoft Teams Bot Applications using the Microsoft 365 Agent SDK. The role involves integrating Large Language Models (LLMs) with Azure AI Search (and other vector databases) to implement Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will have a strong background in Python, Microsoft Bot Framework, Azure AI services, and modern AI/ML techniques to create intelligent, scalable, and user-friendly bot experiences.
Key Responsibilities 1. M365 Agent SDK & Bot Development . Design, develop, and deploy Microsoft Teams Bot Applications using the M365 Agent SDK and Python. . Implement conversational AI workflows, including natural language understanding (NLU), dialog management, and multi-turn conversations. . Integrate bots with Microsoft Teams, Outlook, and other M365 services using Microsoft Graph API. . Optimize bot performance for scalability, latency, and user experience. 2. AI & LLM Integration . Develop and fine-tune LLM-based solutions (e.g., Azure OpenAI, Hugging Face, or custom models) for conversational AI. . Implement prompt engineering and context management to enhance bot responses. . Integrate Azure AI Search (or other vector databases like Pinecone, Weaviate, or Chroma) for semantic search and RAG. . Design and optimize embedding pipelines for document retrieval and knowledge base augmentation. 3. RAG & Vector Database Implementation . Build Retrieval-Augmented Generation (RAG) systems to ground LLM responses in enterprise data. . Index, chunk, and embed unstructured data (PDFs, documents, emails) for efficient retrieval. . Evaluate and compare vector databases (Azure AI Search, Pinecone, Weaviate, etc.) for performance, cost, and scalability. . Implement hybrid search (keyword + vector) for improved accuracy. 4. Cloud & DevOps . Deploy and manage Azure resources (App Services, Container Instances, etc.) for bot hosting. . Implement/modify CI/CD pipelines for automated testing and deployment. . Ensure security best practices (authentication, authorization, data encryption) for bot and AI services. 5. Collaboration & Documentation . Work closely with cross-functional teams (product managers, UX designers, data scientists) to refine bot capabilities. . Document APIs, workflows, and system design for internal knowledge sharing. . Provide training and support to end-users and stakeholders. EA License No: 96C4864 Reg. No.: R24121728 EUNICE WOO JING QI
Key Responsibilities 1. M365 Agent SDK & Bot Development . Design, develop, and deploy Microsoft Teams Bot Applications using the M365 Agent SDK and Python. . Implement conversational AI workflows, including natural language understanding (NLU), dialog management, and multi-turn conversations. . Integrate bots with Microsoft Teams, Outlook, and other M365 services using Microsoft Graph API. . Optimize bot performance for scalability, latency, and user experience. 2. AI & LLM Integration . Develop and fine-tune LLM-based solutions (e.g., Azure OpenAI, Hugging Face, or custom models) for conversational AI. . Implement prompt engineering and context management to enhance bot responses. . Integrate Azure AI Search (or other vector databases like Pinecone, Weaviate, or Chroma) for semantic search and RAG. . Design and optimize embedding pipelines for document retrieval and knowledge base augmentation. 3. RAG & Vector Database Implementation . Build Retrieval-Augmented Generation (RAG) systems to ground LLM responses in enterprise data. . Index, chunk, and embed unstructured data (PDFs, documents, emails) for efficient retrieval. . Evaluate and compare vector databases (Azure AI Search, Pinecone, Weaviate, etc.) for performance, cost, and scalability. . Implement hybrid search (keyword + vector) for improved accuracy. 4. Cloud & DevOps . Deploy and manage Azure resources (App Services, Container Instances, etc.) for bot hosting. . Implement/modify CI/CD pipelines for automated testing and deployment. . Ensure security best practices (authentication, authorization, data encryption) for bot and AI services. 5. Collaboration & Documentation . Work closely with cross-functional teams (product managers, UX designers, data scientists) to refine bot capabilities. . Document APIs, workflows, and system design for internal knowledge sharing. . Provide training and support to end-users and stakeholders. EA License No: 96C4864 Reg. No.: R24121728 EUNICE WOO JING QI