AI Ecosystem Engineer

AI Ecosystem Engineer Salary: $275,000 - $325,000 + Equity Location: San Francisco Bay Area (On-site culture) We're partnering with a fast-scaling leader in the AI web search space to find their first AI Ecosystem Engineer . Our client's platform gives AI agents accurate, auditable, real-time access to the web, and it's already powering agents for enterprise names across financial services, retail, market intelligence, and coding. They've raised over $80M from top-tier institutional investors and count hundreds of enterprise customers among their users. This is a rare opportunity to be the founding hire on a brand-new function: making the platform available everywhere AI developers already build. The Role You won't be doing traditional product engineering. Instead, you'll live at the edge of the AI ecosystem, tracking emerging platforms and building the integrations that put this company's tech directly into developers' hands, wherever they're already working. You'll partner closely with Product and Engineering but run this as your own fast-moving remit, owned end to end. What you'll actually be doing: Most of your time: Building integrations across agent frameworks, MCP servers, SDKs, and developer platforms Shipping plugins, skills, connectors, templates, and reference apps that show off what the platform can do Scouting emerging AI ecosystems and shaping the roadmap for where to integrate next Getting production-ready integrations out fast, then iterating on developer feedback Building agent tooling that gives developers live web access through the platform Regularly: Contributing to open-source projects, working directly with external maintainers Publishing technical examples and sample apps Engaging developer communities on GitHub, Discord, X, Reddit, Medium, and beyond Working closely with Product and Engineering to sharpen the developer experience As needed: Attending AI community events and hackathons Supporting strategic technology partnerships What you'll bring: 5+ years of software engineering experience (or equivalent hands-on background) A track record building AI agents or AI-powered applications Hands-on experience with frameworks like MCP, LangChain, LlamaIndex, CrewAI, AutoGen, or similar Strong experience building APIs, SDKs, integrations, plugins, or developer tools Excellent Python (or similar modern language) skills Background in prompt engineering, agent workflows, or AI application development Solid grounding in web technologies, APIs, browser automation, crawling, scraping, or search An active GitHub profile with meaningful public repos or open-source contributions Experience engaging developer communities A bias for speed, experimentation, and shipping often Strong product intuition and a developer-first mindset Excellent written and spoken English Interested, or know someone who'd be a great fit? Get in touch with Runtime. Show more Show less