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.
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
- 3+ years of experience in developing AI systems focusing on retrieval-augmented generation (RAG)
- Proven track record in building and optimizing end-to-end RAG pipelines
- Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI
- Hands-on experience with OpenSearch or similar vector search technologies
- Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow)
- Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search techniques
- Experience with monitoring and managing production environments
- Knowledge of grounding and citation techniques in AI-generated content
- Familiarity with synthetic QA datasets and evaluation metrics
What We Do
CoinMarketCap is the world's most trusted & accurate source for crypto market capitalizations, pricing and information. CoinMarketCap is a U.S. company registered in the United States of America. CoinMarketCap has been the premier price-tracking website for cryptocurrencies. It is the most referenced and trusted source for comparing thousands of crypto entities in the rapidly growing cryptocurrency space by users, institutions, and media. CoinMarketCap firmly stands for accurate, timely and unbiased information, enabling each end user to draw their own informed conclusions from CoinMarketCap data.
