Software Developer

Python Developer We are currently looking to hire Python Developer . This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below 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. M365Agent 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 Open AI, 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.