Experience:

• 5+ years of software engineering experience, or equivalent hands-on experience
• Experience building AI agents or AI-powered applications
• Experience with frameworks such as MCP, LangChain, LlamaIndex, CrewAI, AutoGen, or similar
• Strong experience building APIs, SDKs, integrations, plugins, or developer tools
• Excellent software engineering skills in Python, or similar modern languages
• Experience with prompt engineering, agent workflows, or AI application development
• Strong understanding of web technologies, APIs, browser automation, crawling, scraping, or search
• Active GitHub profile with meaningful public repositories or open-source contributions
• Experience collaborating with developer communities
• Comfortable moving quickly, experimenting, and shipping frequently
• Strong product intuition and developer-first mindset
• Excellent written and spoken English

Responsibilities:

• Build integrations with modern AI frameworks, MCP servers, SDKs, and developer platforms
• Develop plugins, Skills, connectors, templates, and reference applications that showcase Nimble's capabilities
• Identify emerging AI ecosystems and define the roadmap for where Nimble should integrate next
• Ship production-ready integrations quickly and continuously iterate based on developer feedback
• Build AI agent tooling that enables developers to access the live web through Nimble
• Contribute to open-source projects and collaborate with external maintainers
• Publish technical examples and sample applications
• Engage with developer communities across GitHub, Discord, X, Reddit, Medium, and similar platforms
• Work closely with Product and Engineering to improve developers' experience

Additional responsibilities:

• Attend AI community events and hackathons
• Support strategic technology partnerships and ecosystem initiatives

More skills:

AI-powered applications, integrations, plugins, developer tools, agent workflows, AI application development, web technologies, search, GitHub, open-source, developer communities, Product, Engineering

Other:

• Full-time
• This is the first AI Ecosystem Engineer role at Nimble
• The role is described as operating as an independent, fast-moving team focused on adoption, developer experience, and ecosystem growth
• Nimble powers use cases including financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data
• Trusted by enterprises including Home Depot, Uber, and Coca-Cola
• Backed by top-tier investors
• The company emphasizes a mission-driven team that moves fast, ships often, and takes ownership