Technical Engineer Chatbot - Pune - confidential

    confidential
    confidential Pune

    4 days ago

    Full time
    Description

    Key Accountabilities

    • Lead Chatbot Development: Design, develop, and deploy advanced chatbot features using LLMs, Agentic AI, and other AI frameworks.
    • Operational Ownership: Manage day-to-day chatbot operations, including performance monitoring, troubleshooting, and optimization for high availability and reliability.
    • Feature Delivery: Own the full lifecycle of chatbot feature development from ideation to deployment ensuring high-quality user experiences and measurable impact.
    • AI and Automation Integration: Implement intelligent automations and backend workflows using Azure AI Foundry and related tools.
    • Knowledge Management: Build and maintain dynamic knowledge bases, intents, and AI-driven decision flows.
    • Continuous Improvement: Analyze usage patterns and feedback to enhance chatbot performance and identify new opportunities for automation.
    • Collaboration: Work closely with cross-functional teams such as IT, product, and data science to design scalable, secure, and efficient chatbot architectures.
    • Mentorship: Guide junior developers in AI development best practices, architecture patterns, and operational excellence.

    Experience

    • Education: bachelors or masters degree in Computer Science, Information Technology, or a related field.
    • Experience: 4 to 7 years of experience in chatbot or AI application development, with at least 2 years in a senior or lead role.

    Technical Skills:

    • Strong proficiency in Python or JavaScript
    • Proven experience with LLM-based chatbot frameworks and Agentic AI design
    • Hands-on expertise in Azure AI Foundry , Azure Cognitive Services , or equivalent cloud-based AI platforms
    • Familiarity with API integrations, event-driven architectures, and backend automation
    • Experience with platform is preferred

    Operational Skills:

    • Experience managing chatbot environments in production
    • Strong debugging, monitoring, and optimization capabilities

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