AI Ecosystem Engineer
Core
Build and maintain integrations across the AI ecosystem (agent frameworks, MCPs, SDKs, developer tools) to make Nimble accessible to developers where they already work.
Role type
AI Ecosystem Engineer (IC)
Builds
Production-ready integrations, plugins, connectors, templates, reference applications, and AI agent tooling for web access
Domain
AI Agents, Developer Tools, Web Search, Open Source (via careerplan.io/jobs/09-00F-D9-E66-ai-ecosystem-engineer-at-nimbleway)
Deliverable
production ML models | product features
Required skills
Python, API/SDK/Integration development, AI agent frameworks (MCP, LangChain, LlamaIndex, CrewAI, AutoGen), prompt engineering, web technologies, browser automation, open-source collaboration
Preferred skills
Product intuition, developer-first mindset, community engagement
Technologies
MCP, LangChain, LlamaIndex, CrewAI, AutoGen, Python
Responsibilities
Build integrations with modern AI frameworks and developer platforms; Develop plugins, Skills, connectors, and reference applications; Identify emerging AI ecosystems and define integration roadmaps; Ship production-ready integrations and iterate based on feedback; Build AI agent tooling for live web access; Contribute to open-source projects and publish technical examples; Engage with developer communities on GitHub, Discord, X, Reddit, Medium
Seniority
Mid-Senior, hands-on IC
