Developer Engineer - AI
Role in brief
Coinmarketcap is seeking a Developer Engineer with AI expertise to build and expand its crypto-focused AI capabilities. This role involves developing new features, integrating AI systems into agent products, and fostering a developer community around these tools. Candidates with strong crypto knowledge and experience in AI agent systems and developer products will find this role a good fit.
About the role
This role focuses on expanding Coinmarketcap's AI capabilities within the crypto space. A key part of the work involves building a "Capabilities Market" by designing and shipping official skills across various crypto domains like market analysis, on-chain liquidity, and DeFi. This includes defining standards for publishing, SDK ergonomics, and the revenue-sharing model for third-party developers, as well as owning the server and CLI tools that simplify skill authoring.
The position also involves driving agent-side integrations, partnering with teams to embed Coinmarketcap's AI skills into live agent products. This includes implementing protocol adapters to ensure skills are discoverable and callable across different agent environments, and using integration feedback to improve the SDK, documentation, and helper APIs. The goal is to make AI skills widely accessible and easy to integrate for various applications.
A significant aspect of the role is growing the developer community. This includes co-designing and running hackathons with partners, providing technical support, and creating technical content such as launch posts, recipes, and video walkthroughs to attract developers. Additionally, the role involves improving LLM grounding for crypto-specific contexts to reduce inaccuracies and latency in trading-related queries, and building evaluation systems to measure skill accuracy, reliability, and economic honesty beyond just performance metrics.
The annual salary for this position ranges from $68,000 to $112,000.
Skills that matter here
- Crypto-native fluency: This role requires a deep understanding of crypto concepts like DEX AMMs, perp funding, bridge risk, and on-chain identity, including the ability to read Solidity code.
- AI agent systems, hands-on: The candidate must have practical experience with AI agent systems, including function calling, tool use, MCP, and production experience with frameworks like LangGraph or OpenClaw.
- Developer-product instincts: This position demands experience in building or significantly contributing to SDKs, CLIs, or APIs that have been adopted by external developers, along with strong opinions on effective developer documentation.
Who this role suits
- A self-starter who can define publishing standards and SDK ergonomics.
- Someone who enjoys partnering with other teams to integrate new technologies.
- A community-builder who can organize hackathons and create technical content.
- An individual focused on improving AI system accuracy and reliability in specialized domains.
From the employer
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.
Type
- Full-time
Location
- Global
Workplace
- remote
Questions about this role
What is the remote work policy for this role?
This is a full-time remote position and is open to candidates globally.
What kind of experience is required for this role?
Candidates need crypto-native fluency, hands-on experience with AI agent systems in production, and strong developer-product instincts, including experience building SDKs, CLIs, or APIs.
How do I apply for this position?
The job description does not specify an application method, but typically applications are submitted through the company's website or a designated portal.