Blockchain & AI Infrastructure Engineer

We\u2019re building a next-generation blockchain tailored specifically for AI agents\u2014combining zkVM-based verifiable execution with a high-performance node network and smart-contract layer. You\u2019ll drive protocol design, Rust-centric infrastructure development, and backend engineering optimizations to support multi-agent AI architectures at scale., * 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.
• 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.
• 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. 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.

Since 2017, DcentraLab has been a pioneering force in Web3 and blockchain development. Expanding beyond its initial product, 2Key, DcentraLab has introduced innovative solutions such as Hord, ChainPort, TokensFarm, and DcentraLab Diligence, with a commitment to ongoing growth. Through a relentless pursuit of cutting-edge technologies, DcentraLab remains at the forefront, shaping the future of decentralized ecosystems and blockchain-based products.