📍 Job Overview

Job Title: Blockchain & AI Infrastructure Engineer
Company: DcentraLab
Location: Serbia
Job Type: Full-time
Category: Blockchain Engineer, Infrastructure Engineer
Date Posted: 2025-07-19
Experience Level: 5-10 years
Remote Status: Remote OK

🚀 Role Summary

Design and implement core blockchain protocols with zkVM integration for verifiable AI agent execution.
Build and optimize high-throughput, low-latency node software in Rust.
Develop smart contracts for agent registration, staking, and on-chain governance.
Collaborate 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.

📝 Enhancement Note: This role combines blockchain engineering, Rust development, and AI agent integration, requiring a unique blend of skills and experience. Candidates should have a strong background in blockchain protocols, Rust, and AI agent systems to excel in this position.

💻 Primary Responsibilities

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.

🎓 Skills & Qualifications

Education: A Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree or Ph.D. would be an asset.

Experience: Over 5 years of experience in blockchain engineering, with a strong focus on protocol development, Rust, and AI agent systems.

Required Skills:

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.

Preferred Skills:

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.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A portfolio showcasing your blockchain engineering projects, with a strong emphasis on protocol development, Rust, and AI agent integration.
Live demos of your smart contracts and backend services, highlighting their functionality and performance.
Case studies demonstrating your problem-solving skills and the impact of your work on AI agent systems.

Technical Documentation:

Well-commented and documented code, adhering to best practices for Rust and smart contract development.
API documentation for your backend services, including endpoints, request/response formats, and error handling.
Project documentation outlining your approach to protocol design, node infrastructure, and AI agent integration.

💵 Compensation & Benefits

Salary Range: The salary range for this role is estimated to be between €70,000 and €120,000 per year, depending on experience and qualifications. This estimate is based on market research for blockchain engineers in Serbia and the required skills and experience for this role.

Benefits:

Competitive salary and equity compensation.
Remote work with flexible hours and a focus on results.
Opportunity to work on cutting-edge technology and shape the future of AI agent blockchains.
A dynamic and collaborative work environment with a team of experts in zero-knowledge, smart contracts, and AI orchestration.

📝 Enhancement Note: The salary range provided is an estimate based on market research and the required skills and experience for this role. The actual salary may vary depending on the candidate's qualifications and the company's compensation structure.

🎯 Team & Company Context

Company Culture:

Industry: DcentraLab is a cutting-edge Web3 lab focused on decentralization, security, and innovation.
Company Size: The company is relatively small, allowing for close collaboration and a high degree of ownership over projects.
Founded: DcentraLab was founded in 2023, with a mission to build a next-generation blockchain tailored specifically for AI agents.

Team Structure:

The team is composed of experts in zero-knowledge, smart contracts, and AI orchestration, fostering a collaborative and innovative environment.
The blockchain engineering team works closely with AI engineers to optimize gas models, transaction batching, and resource metering for agentic use cases.
The team follows Agile methodologies, with a focus on iterative development and continuous improvement.

Development Methodology:

The team follows Agile development methodologies, with a focus on iterative development and continuous improvement.
Code reviews, testing, and quality assurance practices are integral to the development process.
Deployment strategies, CI/CD pipelines, and server management are essential aspects of the team's work.

Company Website: dcentralab.com

📝 Enhancement Note: DcentraLab's focus on cutting-edge technology and collaboration makes it an attractive opportunity for blockchain engineers looking to make a significant impact in the AI agent blockchain space.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a deep understanding of blockchain protocols, Rust, and AI agent systems. The candidate will have a significant impact on the design and implementation of the blockchain and its integration with AI agents.

Reporting Structure: The Blockchain & AI Infrastructure Engineer will report directly to the CTO and work closely with the AI engineering team.

Technical Impact: The candidate will play a crucial role in designing and implementing core blockchain protocols, optimizing node software, and developing smart contracts for agent registration and governance. Their work will directly impact the performance and security of the AI agent blockchain.

Growth Opportunities:

Technical Growth: The candidate will have the opportunity to deepen their expertise in blockchain engineering, Rust, and AI agent systems. They will also have the chance to explore emerging Web3 and zero-knowledge technologies.
Leadership Growth: As the team grows, there may be opportunities for the candidate to take on leadership roles, mentoring junior engineers and driving technical decision-making.
Architecture Growth: The candidate will have the chance to shape the architecture of the AI agent blockchain, making critical decisions that will impact its long-term success.

📝 Enhancement Note: The Blockchain & AI Infrastructure Engineer role offers significant growth opportunities, both technically and in terms of leadership and architecture. Candidates should be prepared to take on a high degree of ownership and responsibility for the success of the project.

🌐 Work Environment

Office Type: DcentraLab operates as a remote-first company, with a focus on results and collaboration over physical presence.

Office Location(s): The company is based in Serbia, but the team is distributed globally, with a focus on Web3 timezone overlap.

Workspace Context:

Remote Collaboration: The team uses collaboration tools such as Slack, GitHub, and Google Workspace to communicate and work together effectively.
Development Tools: The team uses Rust, Solidity, and other relevant tools for blockchain development, as well as backend engineering tools such as Node.js, Go, or Python.
Cross-Functional Collaboration: The team works closely with AI engineers, fostering a collaborative and innovative environment.

Work Schedule: The work schedule is flexible, with a focus on results and deadlines. The team operates on a results-only work environment (ROWE) principle, allowing team members to manage their time and priorities effectively.

📝 Enhancement Note: DcentraLab's remote-first work environment and focus on results make it an attractive opportunity for blockchain engineers looking for a flexible and collaborative work environment.

📄 Application & Technical Interview Process

Interview Process:

Initial Screening: A brief phone or video call to discuss your background, experience, and motivation for the role.
Technical Deep Dive: A technical interview focused on your blockchain engineering, Rust, and AI agent system skills. Be prepared to discuss your approach to protocol design, node infrastructure, and smart contract development.
Coding Challenge: A hands-on coding challenge, focused on blockchain development, smart contract auditing, or AI agent integration. You will be expected to demonstrate your problem-solving skills and ability to write clean, efficient code.
Final Interview: A conversation with the CTO to discuss your fit with the team, your long-term goals, and your vision for the AI agent blockchain.

Portfolio Review Tips:

Highlight your blockchain engineering projects, with a strong emphasis on protocol development, Rust, and AI agent integration.
Include live demos of your smart contracts and backend services, showcasing their functionality and performance.
Prepare case studies demonstrating your problem-solving skills and the impact of your work on AI agent systems.

Technical Challenge Preparation:

Brush up on your Rust, blockchain development, and smart contract auditing skills.
Familiarize yourself with the latest developments in zero-knowledge technologies and AI agent systems.
Prepare for questions about your approach to protocol design, node infrastructure, and smart contract development.

ATS Keywords: Blockchain, Rust, zkVM, Smart Contracts, Backend Systems, Distributed Systems, Web3 Ecosystem, AI Agent Experience, Protocol Development, Node Infrastructure, Smart Contract Development, Gas Optimization, Transaction Batching, Resource Metering, Multi-Agent Systems, Agent Orchestration, AI Workloads, On-Chain Logic, Consensus Algorithms, P2P Networking, State Replication, Staking, Governance, Token Economics, CrewAI, MCP, RAG Frameworks, Vector Search, AI-Powered Data Services, Open-Source Blockchain, Zero-Knowledge Projects.

📝 Enhancement Note: The interview process for the Blockchain & AI Infrastructure Engineer role is designed to assess the candidate's technical skills and cultural fit with the team. Candidates should be prepared to demonstrate their expertise in blockchain engineering, Rust, and AI agent systems, as well as their ability to work collaboratively and innovatively.

📌 Application Steps

To apply for this Blockchain & AI Infrastructure Engineer position:

Submit your application through the application link provided.
Customize your portfolio to highlight your blockchain engineering projects, with a strong emphasis on protocol development, Rust, and AI agent integration. Include live demos of your smart contracts and backend services, showcasing their functionality and performance.
Optimize your resume for the web technology industry, highlighting your project experience and technical skills.
Prepare for the technical interview process by brushing up on your blockchain development, smart contract auditing, and AI agent integration skills. Familiarize yourself with the latest developments in zero-knowledge technologies and AI agent systems.
Research DcentraLab and the AI agent blockchain project to demonstrate your understanding of the company's mission and the role's impact on the future of AI agent blockchains.

📝 Enhancement Note: The application process for the Blockchain & AI Infrastructure Engineer role is designed to assess the candidate's technical skills, portfolio, and cultural fit with the team. Candidates should be prepared to demonstrate their expertise in blockchain engineering, Rust, and AI agent systems, as well as their ability to work collaboratively and innovatively.

Content Guidelines (IMPORTANT: Do not include this in the output)

Web Technology-Specific Focus:

Tailor every section specifically to blockchain engineering, Rust development, and AI agent integration roles.
Include blockchain development methodologies, Rust best practices, and AI agent system considerations.
Emphasize protocol design, node infrastructure, smart contract development, and backend engineering optimizations.
Address blockchain engineering career progression, Rust specialization, and AI agent system expertise.
Provide tactical advice for blockchain portfolio development, live demonstrations, and project case studies.

Quality Standards:

Ensure no content overlap between sections; each section must contain unique information.
Only include Enhancement Notes when making significant inferences about blockchain engineering processes, Rust development, or AI agent system integration.
Be comprehensive but concise, prioritizing actionable information over descriptive text.
Strategically distribute blockchain engineering, Rust, and AI agent system-related keywords throughout all sections naturally.
Provide realistic salary ranges based on location, experience level, and blockchain engineering specialization.

Industry Expertise:

Include specific blockchain technologies, Rust frameworks, and AI agent system requirements prominently.
Address blockchain engineering career progression paths and technical leadership opportunities in blockchain teams.
Provide tactical advice for blockchain portfolio development, live demonstrations, and project case studies.
Include blockchain-specific interview preparation and coding challenge guidance.
Emphasize blockchain engineering best practices, Rust performance optimization, and AI agent system integration.

Professional Standards:

Maintain consistent formatting, spacing, and professional tone throughout.
Use blockchain engineering, Rust, and AI agent system industry terminology appropriately and accurately.
Include comprehensive benefits and growth opportunities relevant to blockchain engineers.
Provide actionable insights that give blockchain engineering candidates a competitive advantage.
Focus on blockchain engineering team culture, cross-functional collaboration, and user impact measurement.

Technical Focus & Portfolio Emphasis:

Emphasize blockchain engineering best practices, Rust performance optimization, and AI agent system integration.
Include specific portfolio requirements tailored to the blockchain engineering discipline and role level.
Address blockchain protocol design, node infrastructure, smart contract development, and backend engineering optimizations.
Focus on problem-solving methods, performance optimization, and scalable blockchain architecture.
Include technical presentation skills and stakeholder communication for blockchain projects.

Avoid:

Generic business jargon not relevant to blockchain engineering, Rust development, or AI agent system roles.
Placeholder text or incomplete sections.
Repetitive content across different sections.
Non-technical terminology unless relevant to the specific blockchain engineering role.
Marketing language unrelated to blockchain engineering, Rust development, or AI agent system projects.

Generate comprehensive, blockchain engineering-focused content that serves as a valuable resource for blockchain engineers, Rust developers, and AI agent system professionals evaluating career opportunities and preparing for technical interviews in the blockchain engineering industry.

Blockchain & AI Infrastructure Engineer