Artificial Intelligence Engineer

About the Role

We're looking for a full-stack engineer who operates at the intersection of AI Agents and blockchain. You'll build scalable, high-performance AI-driven applications, deeply integrate cutting-edge LLM models, and bring strong engineering depth across both Web2 and Web3 stacks — all in service of building next-generation decentralized intelligent applications. This is not a pure frontend or backend role. We're looking for a true full-stack architect and builder.

Responsibilities

Core Application Development

Design and implement full-stack applications and SDKs centered on blockchain middleware and infrastructure — deeply embedding AI Agent capabilities (LLM workflow orchestration, RAG, Multi-Agent collaboration) into on-chain data processing, cross-chain protocol integration, and smart contract interaction; and build the integration layer between AI agents and blockchain tooling (MCP, Tool Calling, native SDKs, etc.).

Backend Engineering

Build highly available, scalable backend services using Python, Node.js, or equivalent modern frameworks.

Frontend Development

Deliver high-quality, user-friendly interfaces using modern frontend frameworks (e.g., React).

Web3 Integration

Independently develop smart contracts and integrate seamlessly with major blockchain networks (e.g., EVM-compatible chains).

Architecture & Standards

Draw on hands-on experience to define engineering standards, establish reusable architecture patterns, and drive the team's technical growth.

Vibe Coding Practice

Apply Specification Engineering as a methodology to drive AI-assisted delivery (Cursor, Claude Code) with discipline; codify best practices into team-wide standards (CLAUDE.md, .cursor/rules, prompt template libraries) under version control to continuously raise the team's collaborative efficiency.

Technical Insight & Innovation

Stay ahead of the AI + blockchain frontier, produce actionable technical insights, and drive continuous improvement of products and solutions.

Requirements (Must-Have)

Frontend & Backend Proficiency

Fluent in at least one frontend framework (e.g., React) and one backend language (Python or Node.js); experienced in RESTful / GraphQL API design and performance tuning; disciplined about writing unit, integration, or E2E tests as a quality guarantee.

AI Engineering Depth

Deep understanding of LLM capabilities, prompt engineering, and inference cost/latency trade-offs; proven experience taking AI features from prototype to production, including observability, fault tolerance, and evaluation pipelines.

Web3 Engineering

Hands-on experience deploying and debugging smart contracts on mainnet or testnet; solid grasp of on-chain data structures and common security vulnerabilities — not just contract syntax.

Full-Stack Delivery

Track record of independently shipping complete AI-driven applications or SDKs — owning tech selection, architecture, and implementation end-to-end without relying on others to catch the gaps.

Engineering Culture

Experience leading or contributing to team engineering standards (e.g., code review processes, technical documentation, AI-assisted development guidelines); able to turn personal expertise into team-wide assets.

Nice to Have

The following will position you for a more senior scope and impact:

AI Protocols & Ecosystem

Hands-on experience building MCP Servers or integrating multi-agent collaboration protocols (e.g., A2A); familiar with the evolving landscape of AI tooling standards.

Blockchain Infrastructure & Middleware

Deep understanding of mainstream blockchain infrastructure and protocol layers — including L2 Rollup architecture (OP Stack / zkEVM), cross-chain interoperability (LayerZero, CCIP, IBC), on-chain payment protocols (x402, streaming payments), and privacy protocols (ZK proof systems, Aztec, private DeFi) — with engineering experience in one or more of these areas.

AI Product Thinking

Ability to independently identify AI opportunities in business contexts and drive product design and iteration from a technical perspective.

Open Source / Community Presence

Active open source contributions or visible technical influence in the AI or blockchain space (writing, talks, GitHub, etc.).

Key skills/competency

• Artificial Intelligence Engineer
• Full-Stack Development
• AI Agents
• Blockchain
• LLM Integration
• Web3 Development
• Python
• Node.js
• React
• Smart Contracts