AI Engineer for Crypto SDKs & Agent Ecosystem

CoinMarketCap

Singapore

On-site

SGD 100,000 - 180,000

Full time

14 days+

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Job summary

CoinMarketCap is seeking an experienced platform engineer to design and ship official skills across a 14-domain taxonomy and define SDK ergonomics and revenue-sharing contracts for third-party developers. You will own the MCP server and CLI, making skill authoring as seamless as writing a Vercel function.

You will partner with teams to land CMC skills inside live agent products, implement cross-agent protocol adapters, and feed integration learnings back into the SDK.

Qualifications

  • Crypto-native fluency: can explain DEX AMMs, perp funding, bridge risk, on-chain identity.
  • Experience contributing to SDK/CLI/API adopted by developers; strong opinions on docs.

Responsibilities

  • Design and ship official skills across a 14-domain taxonomy (Leverage, Assets, Portfolio, Pulse, Plays, Risk, etc.).
  • Define publishing standards, SDK ergonomics, and the skill-signing/revenue-share contracts for third-party developers.
  • Own the MCP server and CLI to simplify skill authoring like writing a Vercel function.
  • Partner with teams to land CMC skills inside live agent products; drive cross-agent protocol adapters.
  • Co-design and run CMC for Agent hackathons; write technical content and represent at Web3 × AI events.
  • Improve LLM grounding for crypto context; build evaluation harnesses for skill accuracy and honesty.

Skills

SDK design
CLI tooling
Agent integrations
LLM grounding
Web3 / AI events
Developer relations
Documentation writing
Solidity basics

Tools

MCP server
CLI
LangGraph
OpenClaw

Job description

CoinMarketCap is seeking an experienced platform engineer to design and ship official skills across a 14-domain taxonomy and define SDK ergonomics and revenue-sharing contracts for third-party developers. You will own the MCP server and CLI, making skill authoring as seamless as writing a Vercel function.

You will partner with teams to land CMC skills inside live agent products, implement cross-agent protocol adapters, and feed integration learnings back into the SDK.

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