AI Ecosystem Engineer

We're looking for our first AI Ecosystem Engineer to help make Nimble available wherever AI developers already build.

Your mission is to build and maintain integrations across the rapidly growing AI ecosystem—including agent frameworks, MCPs, SDKs, developer tools, open-source projects, marketplaces, and partner platforms.

This isn't a traditional product engineering role.

Instead, you'll live at the edge of the AI ecosystem, constantly identifying emerging platforms and building integrations that make Nimble accessible to developers where they already work.

You'll partner closely with Product and Engineering, but operate as an independent, fast-moving team focused on adoption, developer experience, and ecosystem growth.

Most of your time:

• 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.

Regularly:

• 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 our developers’ experience.

As needed:

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

• 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.

Nimble is the real-time web search platform built for enterprise accuracy, completeness, and trust. We run Web Search Agents that actively navigate live websites using real browsers and reasoning, turning the public web into governed, decision-grade data for AI systems and high-stakes business use.

Unlike index-based “AI search” tools or brittle legacy scraping, Nimble makes the live web queryable on demand, delivering structured outputs that teams can verify and rely on. Our platform powers use cases where correctness matters: financial due diligence, real-time pricing and promotions, market intelligence, and AI systems that depend on fresh, complete data.

Trusted by leading enterprises like Home Depot, Uber, and Coca-Cola and backed by top-tier investors, Nimble sits at the intersection of AI, automation, and real-time web intelligence.

As demand accelerates across AI, LLMs, and data-driven decisioning, we’re scaling quickly and looking for high-energy, driven teammates who thrive in fast-moving environments and want to help define a new category.

Why join Nimble?

• Work on a deeply technical platform powering real-time AI and enterprise decisions
• Help define the future of Web Search Agents and live web intelligence
• Build alongside a sharp, mission-driven team that moves fast, ships often, and takes ownership