Senior AI Engineer

About Nimble:

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
About the Role:

The Tasks API team builds Nimble's frontier agentic products - systems that turn arbitrary web data sources into insights and structured data for our customers, running in production today.

We're hiring a senior engineer who combines strong backend fundamentals with genuine hands-on experience in agentic AI.

What You’ll be Doing:
Build and own agents end-to-end - from architecture and harness design to production deployment and continuous improvement.
Design evaluations that drive real quality gains: own the datasets, metrics, and experiments behind our agents.
Build the agentic infrastructure the rest of the team builds on top of - reliable, scalable, production-grade.
Bring product sense and connect what we ship to what customers actually need.
What You Should Have for the Role:
10+ years of backend experience, with scale experience - you've built systems that serve real external users and know how to keep them running.
2+ years of hands-on experience in an agentic product team - you've shipped meaningful LLM-powered products in production, not just experimented.
Deep familiarity with LLM concepts: prompting, tool use, structured output, retrieval, evals, multi-step workflows.
An analytical mindset - comfortable with performance analysis, optimization, and reasoning about non-deterministic systems.
Proven ability to deploy AI to production - you know what breaks and how to prevent it.

Advantage

Data science background.
Experience with agentic frameworks (LangChain, LangGraph, etc.).