AI Ecosystem Engineer — Edge Integrations Lead

Nimble; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Nimble is seeking its first AI Ecosystem Engineer to extend the Nimble platform across the AI ecosystem, building integrations with agent frameworks, MCP servers, SDKs, and developer tools. You will operate as an independent, fast-moving team focused on adoption, developer experience, and ecosystem growth, collaborating with Product and Engineering.

You will identify emerging platforms, ship production-ready integrations, and contribute to open-source projects while engaging with developer

Qualifications

• 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.

Skills

Python

APIs & SDKs

AI agents

Open source

GitHub

MCP frameworks

LangChain

Web technologies

Developer tools

Communication

English proficiency

Tools

MCP

LangChain

LlamaIndex

CrewAI

AutoGen

Job description

Nimble is seeking its first AI Ecosystem Engineer to extend the Nimble platform across the AI ecosystem, building integrations with agent frameworks, MCP servers, SDKs, and developer tools. You will operate as an independent, fast-moving team focused on adoption, developer experience, and ecosystem growth, collaborating with Product and Engineering.

You will identify emerging platforms, ship production-ready integrations, and contribute to open-source projects while engaging with developer