Blockchain AI Infrastructure Engineer

Description

Location:

Remote / Hybrid (Web3 timezone overlap)

We’re building a next-generation blockchain tailored specifically for AI agents—combining zkVM-based verifiable execution with a high-performance node network and smart-contract layer. You’ll drive protocol design, Rust-centric infrastructure development, and backend engineering optimizations to support multi-agent AI architectures at scale.

• Protocol & zkVM Development
• Design and implement core blockchain protocols with zkVM integration for verifiable AI agent execution.
• Define smart-contract standards and on-chain agent interfaces (analogous to EVM ABIs).
• Node & Network Infrastructure
• Build and optimize high-throughput, low-latency node software in Rust.
• Architect P2P networking, consensus mechanisms, and state synchronization tailored for AI workloads.
• Smart Contract & Agent Integration
• Develop and audit smart contracts for agent registration, staking, and on-chain governance.
• Integrate multi-agent orchestration frameworks (e.g., CrewAI, MCP) into the blockchain runtime.
• Backend & Tooling
• Create backend services and APIs (REST/GraphQL) to interact with nodes and agents.
• Implement monitoring, observability, and analytics pipelines to track chain and agent performance.
• Collaboration & Innovation
• Partner with AI engineers to optimize gas models, transaction batching, and resource metering for agentic use cases.
• Research emerging Web3 and zero-knowledge technologies to keep our stack cutting-edge.

• Blockchain Engineering: 5+ years building or auditing blockchain protocols, smart contracts, or node infrastructure.
• Rust Expertise:
  Deep practical experience writing and maintaining large-scale Rust applications.
• zkVM / ZK Rollups:
  Hands-on with zero-knowledge VM design or implementation (e.g., zkEVM, zkWASM).
• Smart Contracts:
  Solidity or ink! proficiency; familiar with security best practices and gas optimization.
• Backend Systems:
  Strong background in backend engineering (Node.js, Go, or Python); building scalable APIs and services.
• Distributed Systems:
  In-depth understanding of consensus algorithms, P2P networking, and state replication.
• Web3 Ecosystem:
  Proven track record working in decentralized environments; familiarity with staking, governance, token economics.
• AI Agent
  
  Experience:
  
  Solid grasp of multi-agent systems, agent orchestration, or integrating AI workloads with on-chain logic.

• Experience with CrewAI, A2A protocols, or MCP server development.
• Familiarity with on-chain verifiable computation frameworks and trusted execution environments (TEEs).
• Background in building RAG frameworks, vector search, or other AI-powered data services.
• Contributions to open-source blockchain or zero-knowledge projects.

• Problem Solver:
  Thrives in ambiguous environments and independently drives solutions.
• Communicator:
  Clearly articulates complex blockchain and AI topics to technical and non-technical stakeholders.
• Collaborator:
  Values teamwork and contributes to a culture of shared ownership.
• Learner:
  Passionate about staying current with Web3, ZK research, and AI advancements.

• Shape the foundation of a purpose-built AI agent blockchain.
• Work alongside experts in zero-knowledge, smart contracts, and AI orchestration.
• Be part of a cutting-edge Web3 lab committed to decentralization, security, and innovation.