The Search team builds Nimble's AI-native search infrastructure - the core engine that enables AI agents to access the web and retrieve structured, high-quality data at scale. This is one of the most critical and fast-moving areas of the product.
We're hiring a backend engineer to help design, build, and improve the systems that power it.
Advantage
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?

Nimble is the platform for Web Search Agents, which browse the live web, interpret dynamic sites, and deliver structured, real-time data for AI, analytics, and enterprise decision-making.
Our agents power use cases across pricing, product and competitive intelligence, digital shelf analytics, influencer tracking, and agentic commerce.
For builders, Nimble provides a full SDK and proxy infrastructure to create custom agents with deep rendering, reliable access, and AI-native parsing.
Retailers, CPGs, and AI teams use Nimble for competitive pricing, digital shelf intelligence, agentic commerce, and AI grounding.