AI Agentic Trading Expert
Job description
About the role
This role defines and ships the official skills taxonomy, publishes developer standards, and grows an ecosystem of third-party skills for AI agents in crypto. The expert serves as the technical authority for agentic trading capabilities across Coinmarketcap products and community programs.
Software engineers turn product ideas into working code. Engineers work in small teams, review each other's work, and ship in small batches. Most teams follow agile practices such as sprints and daily standups. Engineers also write tests, fix bugs, and improve performance. The field values clear communication as much as technical skill. Engineers spend part of every week on planning, code review, and debugging, not just writing new code. The ability to explain a technical decision in plain words separates strong engineers from the rest.
Key facts
What you'll do
Publish clear SDK ergonomics and revenue-share contracts so third-party developers build skills against stable, well-defined interfaces.
Operate the MCP server and CLI so that authoring a skill feels as simple as deploying a Vercel function, lowering the effort for rapid experimentation. Partner with product teams to land Coinmarketcap for Agent skills inside live agent applications and workflows, ensuring integrations meet product needs.
Convert integration pain points into documentation and helper APIs that accelerate future developer work by capturing lessons in accessible form.
Represent the platform at Web3 by AI events to communicate capabilities and gather feedback, shaping how the community perceives agentic trading tooling.
Requirements
The posting states a bachelor's degree requirement. Hold a degree as evidence of formal technical training, ensuring foundational knowledge for the role. Explain DEX AMMs, perp funding, bridge risk, and on-chain identity without needing to search, demonstrating fluency in core crypto concepts.
Read Solidity comfortably even if daily writing is not required, enabling quick reviews of smart contract interactions. Have shipped or heavily contributed to an SDK, CLI, or API that outside developers actually adopted, with opinions about why most developer docs fall short.
Demonstrate AI agent systems experience with function calling, tool use, MCP, and at least one of LangGraph or OpenClaw in production, not just tutorials, to deliver reliable agent behaviors.
Practical notes
Typical interview steps
Hiring for engineering roles usually starts with a recruiter screen, followed by one or two technical rounds. Candidates often solve a coding problem, discuss past projects, and answer system design questions. Some loops include a take-home task. Final rounds typically cover team fit and give candidates a chance to ask questions. Interviewers look for how you break down an unfamiliar problem, not just whether you reach the answer. Practicing a few problems aloud and reviewing your own past projects are the best preparation.
Good to know
AI agentic roles often blend product sense with engineering rigor, especially when defining interfaces for autonomous systems. Tooling commonly includes MCP servers, CLI workflows, and multi-agent protocols that coordinate complex tasks. Domain expertise in crypto markets and large language model behaviors helps teams design robust evaluations. Cross-environment discoverability relies on standardized adapters and clear semantic contracts. Documentation quality directly affects developer adoption and long-term ecosystem growth.
Career growth
Engineering careers usually progress from individual contributor to senior, staff, and principal levels. Some engineers move into management and lead teams of five to twenty people. Others stay on the technical track. Growth follows demonstrated impact, not tenure alone. A typical engineering ladder has clear levels with defined expectations for scope, quality, and mentorship. Moving up usually requires owning outcomes end to end rather than completing assigned tickets.
About the company
Top cryptocurrency prices and charts, listed by market capitalization. Free access to current and historic data for Bitcoin and thousands of altcoins.