Crypto.com26.02.26
AI SCORE 8.5

Software Engineer - AI Innovation (Remote)

$120K–$150K/year

About the Role

We are hiring a Software Engineer - AI Innovation (Remote) to join our dynamic team at Crypto.com. In this role, you will be instrumental in designing, developing, and maintaining software for various innovative projects that enhance our core business operations. Your expertise in AI and automation will play a crucial role in improving client onboarding and operational efficiency.

What You'll Do

  • Design, develop, and maintain AI customer chatbots to enhance customer support automation.
  • Implement Generative AI solutions and optimize applications using Retrieval-Augmented Generation (RAG) pipelines.
  • Develop secure automation solutions for Know Your Customer (KYC) processes, ensuring compliance and data integrity.
  • Write clean, efficient code in Python for machine learning models and automation scripts.
  • Collaborate with cross-functional teams to define requirements and deliver innovative solutions.
  • Continuously revisit and improve the development process to enhance software quality.
  • Leverage AI flow software to build complex automation workflows.

Requirements

  • Strong proficiency in backend programming languages, particularly Python and NodeJS.
  • In-depth knowledge of frameworks such as Django, Flask, FastAPI, and NestJS.
  • Expertise in SQL and relational database concepts.
  • Proven experience in deploying NLP/NLU and machine learning models.
  • Practical experience with Generative AI and RAG architectures.
  • Direct experience in customer support automation and chatbot development.
  • Familiarity with financial technology processes, especially KYC procedures.

Nice to Have

  • Experience with Kubernetes and Docker.
  • Applied AI development experience.
  • Proficient in English and experienced in collaborating with global teams.
  • Strong attention to detail and a desire to improve processes.
  • Able to adapt to changing priorities in a fast-paced environment.

What We Offer

  • Competitive salary with attractive annual leave entitlements.
  • Flexibility in work hours and a remote setup.
  • Opportunities for internal mobility and career growth.
  • Crypto.com visa card provided upon joining.
  • A supportive and innovative work culture.
  • Access to professional development resources and training.
  • Engagement in a cohesive team environment focused on achieving common goals.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Software Engineer - AI Innovation role at Crypto.com offers a unique opportunity to work remotely on cutting-edge AI projects. With competitive pay and a supportive team, it's a great chance to advance your career in the rapidly evolving Web3 space.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficiency in Python and experience with frameworks such as Django and Flask to build scalable applications that leverage AI technologies.

Strong analytical mindset with hands-on experience in Natural Language Processing (NLP) and Machine Learning, particularly in applying Generative AI techniques to solve real-world problems.

Self-motivated and disciplined remote worker who excels in asynchronous communication and collaboration tools, ensuring productivity and engagement in a fully remote environment.

Learning Resources

Python for Data Science Handbookguide

Career Path

Software Engineer - AI Innovation (Remote)(Now)Senior Software Engineer - AI Solutions(1-2 years)Lead AI Engineer(3-5 years)

Market Overview

Market Size 2024
$50B
Annual Growth
12.5%
AI Adoption
75%
Investment in AI Startups
+45%
Labour Demand for AI Roles
+30%
Avg Salary for Python Developers
$120K

Skills & Requirements

Required
PythonNode.jsDjango
Growing in Demand
TensorFlowPyTorchKubernetes
Declining
PerlRuby on Rails

Domain Trends

Rise of Generative AI
The generative AI market is expected to reach $20B by 2025, with a 28% CAGR, leading to increased demand for Python developers skilled in frameworks like TensorFlow and PyTorch.
NLP Integration in Business
Natural Language Processing (NLP) applications are projected to grow by 22% annually, with companies increasingly adopting Python libraries like NLTK and SpaCy for AI-driven customer solutions.
Shift to Cloud-Native Applications
Over 70% of organizations are transitioning to cloud-native architectures, driving the need for Python developers proficient in microservices and container orchestration technologies like Kubernetes.

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