Developer Engineer - AI
Quick Summary
launch posts, cookbook recipes, video walkthroughs, and "build-with-us" threads.
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,
Responsibilities
~1 min read-
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.
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Define publishing standards, SDK ergonomics, and the skill-signing / revenue-share contract that third-party developers will build against.
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Own the MCP server and CLI that make skill authoring feel as easy as writing a Vercel function.
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Partner with teams to land CMC for Agent skills inside live agent products.
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Implement A2A / cross-agent protocol adapters so a skill published once is discoverable and callable everywhere agents live.
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Feed integration learnings back into the SDK — every painful integration becomes a docs page or a helper API.
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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.
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Write the technical content that makes developers choose us: launch posts, cookbook recipes, video walkthroughs, and "build-with-us" threads.
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Be the technical face at Web3 × AI events;
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Improve LLM grounding on crypto-specific context (tokens, contracts, narratives) to cut hallucination and latency on trading-adjacent queries.
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Build evaluation harnesses that measure skill accuracy, reliability, and economic honesty — not just latency and uptime.
Requirements
~1 min read-
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.
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AI agent systems, hands-on: function calling, tool use, MCP, and at least one of LangGraph / OpenClaw in production — not just tutorials.
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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.
Listing Details
- Posted
- April 29, 2025
- First seen
- March 26, 2026
- Last seen
- April 24, 2026
Posting Health
- Days active
- 28
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- April 24, 2026
Signal breakdown

CoinMarketCap is the world's most trusted & accurate source for crypto market capitalizations, pricing and information.
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