Staff Software Engineer, AI Systems

About this role

There's nothing more exciting than transforming an industry that's been stagnant for decades. Federato is an AI-native platform that’s bringing agentic AI to the full policy lifecycle. We’re aggressively transforming how insurance work gets done, and the world is paying attention: we've raised $180 million, including a $100 million Series D from Goldman Sachs. We have powerful product-market fit, and we're growing fast globally.

You'll get to work on complex problems with one of the most advanced AI teams you'll find anywhere. If you're the person we need, you know that AI bolted onto legacy systems is too weak to matter. That's why we built our platform to be AI-native from day one. That's why you can do here what you can never do at a legacy software company. move fast and prove it, not theorize it. We think from first principles. You’ll work on problems that matter, building software that fundamentally changes how insurance operates.

Role Overview : We are looking for an Software Engineer, AI Systems to help build the backend architecture behind our emerging agent systems. This role sits at the intersection of software engineering, data infrastructure, and applied AI. You will work across the stack to design and implement systems that power LLM-driven product capabilities — from orchestration and tool integration to evaluation and production deployment.

You’ll collaborate closely with product managers, designers, and engineers to bring AI-powered workflows directly into our underwriting platform. This is a high-impact role with significant ownership over both experimentation and production implementation. This role is ideal for engineers who enjoy working across layers of the stack and are excited about shaping how agent systems operate inside real production software.

What You'll Be Doing : Design and implement agent workflows and orchestration systems for AI-powered product features Build backend services that integrate LLMs with structured insurance data and platform APIs Develop infrastructure for tooling, context management, and agent execution Contribute to internal frameworks supporting prompt iteration, evaluation, and observability Partner with product and design to translate underwriting workflows into AI-enabled product experiences Help define architectural patterns for building reliable AI-native features in production Work across backend systems, data infrastructure, and product integrations to ship user-facing capabilities Who We Hope You Are: 10+ years of experience in backend engineering, data engineering, or related roles Strong experience building production backend systems and APIs Professional experience working with LLMs, agent systems, or generative AI applications Hands-on experience with prompt design, tool-based agent architectures, or LLM workflows Proficiency in Python or similar backend languages Experience working with cloud infrastructure and distributed systems Comfort working across layers of the stack, from infrastructure to product integration Strong curiosity about emerging AI architectures and agent patterns Comfortable navigating ambiguity and working in a fast-paced, collaborative environment Bonus Points if...