Frequently Asked Questions

What AI roles exist in the crypto industry?

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AI and ML roles in crypto span: AI engineers building LLM-powered products (trading tools, research assistants, developer tooling), ML researchers working on on-chain data models and predictive analytics, data scientists analysing blockchain data, and AI safety or alignment researchers at crypto foundations. The intersection of AI and crypto is one of the fastest-growing hiring areas in Web3.

Do AI jobs in crypto require blockchain knowledge?

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Not always. Many AI roles at crypto companies focus on building AI products — chatbots, analytics tools, automated workflows — where blockchain knowledge is a bonus rather than a requirement. Deep blockchain expertise is more important for roles involving on-chain data modelling, MEV research, or DeFi strategy optimisation.

What AI skills are most in demand at crypto companies?

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Python, PyTorch, LLM fine-tuning and RAG systems, LangChain or similar orchestration frameworks, and experience with large dataset pipelines are highly sought after. For on-chain AI roles, familiarity with Dune Analytics, The Graph, or custom blockchain indexing pipelines is also valued.

How much do AI engineers earn at crypto companies?

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AI and ML engineers at crypto companies command premium salaries, reflecting both crypto compensation norms and the broader talent shortage in AI. Mid-to-senior AI engineers typically earn $150,000–$280,000 per year, with additional token compensation at protocol-stage companies.