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Crypto.com
AI and Automation Engineer
about 5 hours ago | 12 views | Be the first one to apply

AI and Automation Engineer

Full-time
Hong Kong, Asia
Per year
$126,000 To $131,000

About the company

The World's Leading Cryptocurrency Platform

Job Summary

Key Responsibilities:

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

šŸ“Experience: Minimum of 3-5 years of professional experience in software development, AI engineering, or automation focused roles. šŸ“Programming: Strong hands-on experience with Python and relevant libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch). šŸ“AI/ML: Proven experience with NLP/NLU and machine learning model deployment, specifically in the context of chatbots and customer service. šŸ“GenAI/RAG: Practical experience implementing Generative AI solutions and building RAG architectures. šŸ“Domain Knowledge: šŸ“Direct experience with customer support automation and developing AI customer chatbots. šŸ“Familiarity with financial technology processes, particularly KYC procedures and payment handling/reconciliation

If you’re passionate about blockchain and decentralized technologies, explore more opportunities in web3 and cryptocurrency careers.

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