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Crypto Pro

AI and Automation Engineer

Posted 9 Hours Ago
Be an Early Applicant
Hybrid
Singapore
Mid level
Hybrid
Singapore
Mid level
The role involves designing and developing AI-powered automation solutions to enhance client onboarding and operational efficiency, including chatbot development and financial process automation.
The summary above was generated by AI
We are a team to design, develop, maintain, and improve software for various ventures projects, i.e., projects that are adjacent to our core businesses and are bootstrapped fast with a lean team. You will be actively involved in the design of various components behind scalable applications, from frontend UI to backend infrastructure.

We are seeking a highly motivated and experienced AI and Automation Engineer to join our AI Innovation team. The ideal candidate will be instrumental in designing, developing, and deploying cutting-edge AI-powered automation solutions, primarily focused on enhancing our Client onboarding, operational efficiency and financial processes. This role requires a strong blend of software engineering skills, deep understanding of Generative AI, and practical experience in implementing sophisticated automation flows.

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.
  • 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

  • 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

Preferred Qualifications (The "Nice-to-Haves")

  • Experience with AI workflow software such as Dify, n8n, or other frameworks for building Agentic AI systems.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying and scaling AI/ML services.
  • Experience with containerization (Docker, Kubernetes).

Life @ Crypto.com

Empowered to think big. Try new opportunities while working with a talented, ambitious and supportive team.
Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions.
Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth.
Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another.
One cohesive team. Engage stakeholders to achieve our ultimate goal - Cryptocurrency in every wallet.
Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up
Aspire career alternatives through us - our internal mobility program offers employees a new scope.
Work Perks: crypto.com visa card provided upon joining

Are you ready to kickstart your future with us?

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

Our Crypto.com benefits packages vary depending on region requirements, you can learn more from our talent acquisition team.


About Crypto.com:

Founded in 2016, Crypto.com serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: Cryptocurrency in Every Wallet™. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem.

Learn more at https://crypto.com.

Crypto.com is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team.

Personal data provided by applicants will be used for recruitment purposes only.

Please note that only shortlisted candidates will be contacted.

Top Skills

AWS
Azure
Docker
GCP
Kubernetes
N8N
Numpy
Pandas
Python
PyTorch
Scikit-Learn
TensorFlow

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