| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Crypto.com | Hong Kong, Hong Kong | $126k - $131k | |||
Binance | United States |
| |||
visa | Austin, TX, United States | $112k - $150k | |||
Crypto Finance AG | Zurich, Switzerland | $93k - $110k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
visa | Austin, TX, United States | $83k - $89k | |||
visa | United States | $87k - $115k | |||
S-PRO | Remote | $84k - $90k | |||
Binance | Hong Kong, Hong Kong |
| |||
visa | United States | $72k - $99k | |||
Pulley | Remote | $200k - $240k | |||
Alpaca | Remote | $105k - $109k | |||
Bitgo | Remote | $90k - $96k | |||
Bitgo | Remote | $180k - $220k | |||
Fin | New York, NY, United States | $125k - $250k | |||
Crypto Finance AG | Zurich, Switzerland | $115k - $145k |
AI and Automation Engineer
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).
Is Kubernetes high demand?
Yes, Kubernetes is currently in high demand in the technology industry
Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications
It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility
As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure
Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce
According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace
In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies
Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.