DcentraLab
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.
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
DcentraLab
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