AI Jobs in Web3

We are seeking a Senior Full-Stack Developer with expertise in AI to join a fully remote team working on a cutting-edge financial portfolio management platform. This role will involve designing and implementing AI-driven features, such as personalized recommendations and conversational AI components, while ensuring seamless cryptocurrency integrations. The ideal candidate will lead the architecture and development of scalable systems that leverage modern AI tools and frameworks.

Responsibilities

• Lead the development and optimization of production-ready AI-powered features, ensuring scalability and reliability.

• Implement and maintain modern AI/LLM architectures, including RAG strategies, vector search, and chunking.

• Design and deploy personalized AI experiences, leveraging user embeddings, prompt engineering, and context management.

• Build and optimize AI infrastructure with tools like Pinecone, Weaviate, and pgvector for real-time and efficient applications.

• Collaborate with cross-functional teams to integrate AI features into web and mobile applications.

• Design and maintain cloud-based systems for scalable AI and blockchain solutions.

• Develop and integrate blockchain functionalities, working with Web3 concepts and APIs.

• Continuously evaluate and monitor AI systems for performance, inference costs, and latency improvements.

Requirements

• Strong software engineering background with experience building production systems.

• Expertise in AI/LLM technologies, including fine-tuning, RAG architectures, and real-time streaming solutions.

• Proficiency in Python and familiarity with AI frameworks, tools, and infrastructure.

• Hands-on experience with React Native, Vercel, and Postgres.

• Knowledge of blockchain fundamentals and experience working with blockchain APIs and data.

• Proven track record of deploying AI-powered features in production environments.

• Strong system design, problem-solving skills, and clear communication abilities.

Preferred Skills

• Practical experience in optimizing inference costs and latency.

• Experience in building scalable cloud infrastructure for AI systems.

• Knowledge of AI system monitoring and evaluation tools.

• Familiarity with blockchain technologies and Web3 principles.

• Solid understanding of scalable design patterns and real-time streaming architectures.