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Dcentralab
$72k - $150k estimated
Description
Requirements
Location: Remote / Hybrid (Web3 timezone overlap)
About the Role
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.
What You’ll Do
- 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.
Requirements
Required Skills & Qualifications
- 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.
Nice-to-Haves
- 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.
Soft Skills
- 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.
Why Join Us?
- 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. # Markdown syntax guide