AI Engineer

Key Responsibilities

AI and Blockchain Integration: Design and integrate AI solutions that interface with our blockchain protocols, particularly focusing on the Proof-of-Creativity protocol.

Tooling & SDK Development: Develop and maintain AI SDKs, APIs, and tools to facilitate AI application development and ensure smooth integration with our underlying blockchain and IP infrastructure.

Collaboration & Partnerships: Work closely with external AI service providers, blockchain developers, and internal teams to define and meet technical integration requirements, driving innovations that bridge AI and blockchain technologies.

AI Evangelism & Internal Enablement: Serve as an advocate for AI tooling and best practices within the company. Drive AI adoption internally to enhance productivity, collaboration, and innovation.

Innovation & Roadmap: Research and drive the roadmap for AI + blockchain technology, providing strategic input and direction based on industry trends, research, and hands-on experience.

Qualifications

Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field.

AI Expertise: Hands-on experience with AI/ML models, including neural networks, transformers, and generative models. Deep understanding of training, fine-tuning, and deploying AI applications.

Technical Skills: Expertise with AI frameworks and tools. Experience in programming languages such as Python, and proficiency in building REST APIs, microservices, and DAG workflows.

Problem-Solving Skills: Ability to tackle complex challenges, especially those at the intersection of AI and decentralized technologies, with a focus on scalability and security.