Key Responsibilities:

📍Customer Support Automation & Chatbots: 📍Design, develop, and maintain AI customer chatbots and other automation tools to improve response times and resolution rates for customer support automation. 📍Integrate AI models with existing support channels and backend systems. 📍Generative AI & RAG Implementation: 📍Develop and optimize applications utilizing Generative AI (GenAI), with a focus on implementing robust Retrieval-Augmented Generation (RAG) pipelines for accurate, context-aware responses. 📍Experiment with and integrate various Large Language Models (LLMs) and foundation models. 📍KYC & Financial Automation: 📍Implement secure and compliant automation solutions for Know Your Customer (KYC) processes, including data validation, document processing, and risk flagging. 📍Develop automation flows for payment handling and reconciliation, ensuring accuracy, security, and integrity of financial transactions. 📍Software Development: 📍Write clean, efficient, and well-documented code using Python for machine learning models, automation scripts, and system integrations. 📍Collaborate with cross-functional teams (Product, Data Science, Operations) to define requirements and deliver solutions. 📍Revisit the development process to fix bugs or address Agentic AI & Workflow Management (A Plus): 📍Leverage or quickly learn AI flow software and platforms like Dify, n8n, LangChain, or other Agentic AI frameworks to build complex, multi-step automation workflows.

Required Qualifications

📍Strong proficiency in backend programming languages, especially in Python and NodeJS, In-depth knowledge of Python/Nodejs syntax, and frameworks (e.g., Django, Flask, FastAPI, NestJS). 📍Expertise in SQL: Solid understanding of relational database concepts, SQL querying, and database optimization techniques. 📍AI/ML: Proven experience with NLP/NLU and machine learning model deployment, specifically in the context of chatbots and customer service. 📍GenAI/RAG: Practical experience implementing Generative AI solutions and building RAG architectures. 📍Domain Knowledge: 📍Direct experience with customer support automation and developing AI customer chatbots.

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