Web3 Studio EVG Hires AI and Blockchain Engineers

Asia's Largest Web3 Studio Bets Big on AI-Blockchain Convergence

Everest Ventures Group (EVG), one of Asia's leading Web3 studios headquartered in Hong Kong, is aggressively expanding its engineering teams with new remote-friendly positions spanning smart contract development, artificial intelligence, and data science. The hiring push — offering salaries between $4,000 and $6,000 per month plus token compensation — underscores a broader industry trend: the rapid convergence of AI and blockchain technology that is reshaping how decentralized applications are built and deployed.

With a team already exceeding 300 people, EVG is actively building decentralized exchanges (DEXs), Layer 2 scaling solutions, real-world asset (RWA) tokenization platforms, and — most notably for the AI community — Web3-native AI Agents. The company's decision to simultaneously recruit blockchain engineers and AI specialists reveals a strategic vision that mirrors moves by Western firms like Fetch.ai, Ocean Protocol, and even Coinbase, all of which are exploring the intersection of autonomous AI systems and decentralized infrastructure.

Key Facts at a Glance

• Company: Everest Ventures Group, 300+ employees, headquartered in Hong Kong
• Open roles: Smart contract/blockchain engineers, AI engineers, data scientists
• Compensation: $4,000–$6,000/month base salary plus token incentives
• Work model: Remote or hybrid (Hong Kong office available)
• Core products: DEX platforms, L2 scaling solutions, RWA tokenization, Web3 AI Agents
• Required experience: 3+ years in Solidity/Rust/Go/Move, or 1+ year blockchain development with strong backend skills

What EVG Is Building — and Why It Matters

EVG's product portfolio reads like a roadmap of where the Web3 industry is headed. The company is developing infrastructure across 4 key verticals: decentralized exchanges, Layer 2 scaling solutions, real-world asset tokenization, and AI Agents designed specifically for Web3 environments.

The AI Agent component is particularly significant. Unlike traditional chatbots or simple automation tools, Web3 AI Agents operate autonomously on blockchain networks — executing trades, managing portfolios, interacting with smart contracts, and making decisions based on on-chain data. This represents a fundamentally different paradigm from centralized AI services like those offered by OpenAI or Google, because these agents can hold their own crypto wallets, sign transactions, and operate without a central authority.

Compared to Western competitors like Fetch.ai (which recently merged with Ocean Protocol and SingularityNET to form the Artificial Superintelligence Alliance valued at over $7.5 billion), EVG's approach appears more vertically integrated. Rather than building a general-purpose AI-blockchain platform, EVG is embedding AI capabilities directly into its existing DeFi products — a strategy that could yield faster real-world utility.

The Technical Stack: Multi-Chain, Multi-Language

The job listings reveal an ambitious technical scope that goes well beyond typical Ethereum-only development shops. EVG's smart contract engineers are expected to work across multiple blockchain ecosystems simultaneously.

The required technical competencies include:

• Multi-chain smart contract development across EVM, Solana, Move-based chains (Aptos/Sui), and Cosmos ecosystem
• Security audit collaboration with top-tier auditing firms
• Gas and Compute Unit optimization requiring deep understanding of virtual machines (EVM, SVM, Move VM)
• Cross-chain deployment and contract migration strategies
• dApp integration using TypeScript with libraries like ethers.js, web3.js, and wallet adapters
• DeFi protocol expertise spanning DEXs, lending platforms, and vault architectures

This multi-chain approach is notable. While many Western blockchain companies still focus primarily on Ethereum and its Layer 2 networks (Arbitrum, Optimism, Base), EVG is clearly positioning itself as a chain-agnostic builder. The inclusion of Move — the programming language created by Facebook's former Diem project and now used by Aptos and Sui — suggests the company sees significant growth potential in newer blockchain architectures.

The requirement for 3+ years of experience in languages like Solidity, Rust, Go, or Move sets a relatively high bar, though the alternative path — 1+ year of blockchain development combined with strong backend engineering skills — indicates EVG is also willing to train talented engineers who are transitioning from traditional software development into Web3.

Remote Work and Global Talent Strategy

EVG's embrace of remote work reflects a broader shift in how Web3 companies approach talent acquisition. Unlike traditional finance firms in Hong Kong that typically require on-site presence, EVG is competing for global engineering talent by offering location flexibility.

The bilingual preference (Chinese and English) positions EVG uniquely at the crossroads of Eastern and Western crypto markets. As regulatory clarity improves in Hong Kong — which has been actively courting crypto firms with new licensing frameworks since 2023 — companies like EVG can serve as bridges between Asia's massive retail crypto market and Western institutional capital.

The compensation structure of $4,000–$6,000 per month base salary is competitive for Asian markets but notably below Silicon Valley standards, where senior blockchain engineers command $150,000–$250,000 annually. However, the token compensation component could significantly increase total earnings if EVG's projects gain traction. This equity-like structure is standard in Web3 and has historically created significant wealth for early employees at successful protocols.

The AI-Blockchain Convergence Is Accelerating

EVG's hiring push arrives at a pivotal moment for the AI-blockchain intersection. Several macro trends are driving demand for engineers who can work across both domains:

On-chain AI inference is becoming feasible as blockchain scaling solutions mature. Layer 2 networks and alternative Layer 1 chains now offer sufficient throughput to support lightweight AI model execution directly on-chain, enabling trustless and verifiable AI outputs.

Decentralized compute networks like Render, Akash, and io.net are creating alternatives to centralized cloud providers (AWS, Google Cloud, Azure) for AI training and inference. Engineers who understand both distributed systems and machine learning are increasingly valuable.

Autonomous agents represent perhaps the most exciting frontier. Projects like Virtuals Protocol, ai16z's ELIZA framework, and various AI agent launchpads have demonstrated that AI systems capable of independently interacting with DeFi protocols can generate real economic value. The total market capitalization of AI-related crypto tokens exceeded $30 billion in early 2025, according to CoinGecko data.

EVG's decision to build AI Agents in-house rather than integrating third-party solutions suggests the company sees this capability as a core competitive advantage — not merely a feature to be bolted on.

What This Means for Engineers and the Industry

For developers considering a career move, EVG's openings represent an increasingly common archetype: roles that require hybrid expertise spanning traditional software engineering, blockchain development, and AI/ML. The days of being 'just a Solidity developer' or 'just an ML engineer' are fading as the most innovative companies seek engineers who can operate across technology boundaries.

For the broader industry, EVG's expansion signals that well-funded Asian Web3 studios are not retreating despite market volatility. Instead, they are doubling down on the AI narrative — a strategic bet that mirrors the positioning of Western crypto giants like a]16z Crypto, Paradigm, and Polychain Capital, all of which have increased their exposure to AI-blockchain projects in recent quarters.

The implications extend beyond individual companies. As more firms like EVG integrate AI capabilities into DeFi infrastructure, we can expect:

• More sophisticated automated trading and risk management systems
• AI-powered security auditing that catches vulnerabilities before deployment
• Intelligent cross-chain bridging that optimizes routes and minimizes fees
• Natural language interfaces that make complex DeFi protocols accessible to mainstream users

Looking Ahead: Hong Kong as an AI-Web3 Hub

Hong Kong's evolving regulatory environment makes it a particularly interesting base for companies like EVG. The city's Securities and Futures Commission (SFC) has introduced clear licensing frameworks for virtual asset trading platforms, and the Hong Kong Monetary Authority is actively exploring tokenization of real-world assets — directly aligned with EVG's RWA initiatives.

As the AI-blockchain convergence accelerates through 2025, expect to see more companies advertising hybrid roles that would have seemed unusual just 2 years ago. The engineer who can write a secure smart contract in Solidity, optimize a machine learning model for on-chain inference, and architect a cross-chain deployment pipeline is becoming the most sought-after profile in Web3.

EVG's hiring push is not just a company expanding its headcount. It is a data point in a much larger trend: the merging of two of the decade's most transformative technologies into a unified stack that could fundamentally reshape how we build, deploy, and interact with intelligent software systems.

For engineers interested in applying, EVG accepts applications through its official channels, with positions open to both remote candidates and those willing to relocate to Hong Kong.