Role & seniority: AI and Automation Engineer (mid-to-senior, 3–5+ years required)

Stack/tools: Python (NumPy, pandas, scikit-learn), ML frameworks (TensorFlow/PyTorch), NLP/NLU, GenAI/RAG architectures, LLM integrations; AI workflow platforms (Dify, n8n, LangChain); cloud (AWS/Azure/GCP); Docker/Kubernetes (nice to have)

Top 3 responsibilities

Design, develop, and maintain AI-powered customer support chatbots and automation tools; integrate with support channels and back-end systems
Build and optimize GenAI solutions with robust RAG pipelines and various LLMs/foundation models
Implement secure KYC automation (data validation, document processing, risk scoring) and automation for payment handling/reconciliation

Must-have skills

3–5+ years in software/AI/automation roles
Python expertise and ML/NLP model deployment experience for customer service
Practical GenAI/RAG implementation experience and LLM integration
Domain experience in customer support automation and AI chatbots
Familiarity with KYC processes and payment reconciliation

Nice-to-haves

Experience with AI workflow tools (Dify, n8n, LangChain) or agentic AI platforms
Cloud deployment and scaling of AI/ML services (AWS/Azure/GCP)
Containerization with Docker and orchestration (Kubernetes)
Location & work type: Flexible/hybrid or remote eligible; prior mention of flexi-hours and hybrid/remote setup

Note: Role is within Crypto.com’s AI Innovation team, focusing

Full Description

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. \n

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 and Automation Engineer