Coinmarketcap
AI Agentic Trading Expert
Global · Hong Kong · Singapore · Kuala Lumpur · Taipei
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hirly's read of this role
- Seniority
- Mid level
- Countries
- SG, HK, MY, TW
- Work mode
- Remote-friendly
- First seen by hirly
- 10 Sept 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
Key Responsibilities
Build the Capabilities Market (Supply Side)
Design and ship the official skills spanning our 14-domain taxonomy (Leverage, Assets, Portfolio, Pulse, Plays, Risk, etc.) — covering market analysis, on-chain liquidity, identity resolution, derivatives, and DeFi primitives.
Define publishing standards, SDK ergonomics, and the skill-signing / revenue-share contract that third-party developers will build against.
Own the MCP server and CLI that make skill authoring feel as easy as writing a Vercel function.
Drive Agent-Side Integrations (Demand Side)
Partner with teams to land CMC for Agent skills inside live agent products.
Implement A2A / cross-agent protocol adapters so a skill published once is discoverable and callable everywhere agents live.
Feed integration learnings back into the SDK — every painful integration becomes a docs page or a helper API.
Grow the Developer Community (Ecosystem & Hackathons)
Co-design and run CMC for Agent hackathons — tracks, bounties, reference repos, judging rubrics, and the technical support Discord during event weekends. Deep collaboration expected with BNB Hack Local Series, YZi Labs EASY Residency, and Virtuals/ACP ecosystem events.
Write the technical content that makes developers choose us: launch posts, cookbook recipes, video walkthroughs, and "build-with-us" threads.
Be the technical face at Web3 × AI events;
Engineering & Grounding
Improve LLM grounding on crypto-specific context (tokens, contracts, narratives) to cut hallucination and latency on trading-adjacent queries.
Build evaluation harnesses that measure skill accuracy, reliability, and economic honesty — not just latency and uptime.
Requirements
Crypto-native fluency : you can explain DEX AMMs, perp funding, bridge risk, and on-chain identity without reaching for Google. Comfortable reading Solidity even if you don't write it daily.
AI agent systems, hands-on : function calling, tool use, MCP, and at least one of LangGraph / OpenClaw in production — not just tutorials.
Developer-product instincts : you've built or heavily contributed to an SDK, CLI, or API that outside developers actually adopted — and you have opinions about why most developer docs are bad.
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