CoinMarketCap Logo

CoinMarketCap

Developer Engineer - AI

Posted 5 Days Ago
In-Office or Remote
Hiring Remotely in Canada
Mid level
In-Office or Remote
Hiring Remotely in Canada
Mid level
Design and ship a 14-domain skills taxonomy and SDK/CLI tooling, operate the MCP server, integrate agent protocols, improve LLM grounding for crypto, run developer hackathons, and produce technical content to grow the ecosystem.
The summary above was generated by AI
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.

Similar Jobs

2 Days Ago
Easy Apply
Remote or Hybrid
Canada
Easy Apply
Senior level
Senior level
Marketing Tech • Real Estate • Software • PropTech • SEO
Lead large-scale, cross-functional engineering projects to deliver AI-native SaaS features. Own platform architecture for multi-tenant, cloud-native systems, drive engineering standards and developer tooling, mentor engineers, and operationalize LLMs, agent frameworks, and real-time data in production.
Top Skills: AnthropicApolloAWSClaude CodeDynamoDBElasticsearchGraphQLKafkaKubernetesLambdaNode.jsPostgresReactRedisSqsTailwind CssTemporalTypescript
3 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Senior level
Senior level
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build end-to-end full-stack AI features on a Ruby on Rails backend and React frontend, design and run experiments (A/B tests and AI evaluations), implement AI infrastructure for reliable LLM inference, and iterate quickly to scale production-ready LLM-powered products.
Top Skills: Ai AgentsLlmsMySQLPostgresReactRetrieval-Augmented Generation (Rag)Ruby On Rails
4 Days Ago
Easy Apply
Remote
Canada
Easy Apply
Mid level
Mid level
Cloud • Security • Software • Cybersecurity • Automation
Build and maintain backend features for Agent Observability across the GitLab monolith and AI gateway. Design and implement GraphQL/REST APIs, improve automated tests (RSpec), collaborate cross-functionally, troubleshoot production issues on Tier 2 on-call, and help shape responsible AI integration and platform architecture.
Top Skills: Ai ToolingBackground JobsGitlabGraphQLPostgresPythonRestRspecRuby On RailsSQLVue

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account