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Developer Engineer - AI

Coinmarketcap
entry level to mid-level
Work Type

Remote

Seniority

entry level to mid-level

Posted

April 29, 2025


Expected Salary
$100k+
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Job Description

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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