Hybrid AI and Automation Engineer

at Crypto.com

• Job title: AI and Automation Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Numpy, Pandas, Python, PyTorch, Scikit-Learn, Tensorflow
• Location requirements: Hybrid, Shenzhen, China

About the role

• AI and Automation Engineer designing and implementing AI-powered automation solutions at Crypto.com. Enhance client onboarding and operational efficiency through cutting-edge technology.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• Experience: Minimum of 3-5 years of professional experience in software development, AI engineering, or automation focused roles.
• Programming: Strong hands-on experience with Python and relevant libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow/PyTorch).
• 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.
• Familiarity with financial technology processes, particularly KYC procedures and payment handling/reconciliation

Benefits

• Competitive salary
• Attractive annual leave entitlement including: birthday, work anniversary
• Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
• Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope.
• Work Perks: crypto.com visa card provided upon joining