Staff Software Engineer, AI Systems at Federato

Job description

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... Experience building production systems involving LLMs, agents, or prompt pipelines Experience designing internal platforms or developer tooling Familiarity with insurance, fintech, or B2B SaaS Contributions to open-source AI or data infrastructure projects Experience with Typescript Why This Role Matters You will help build the core infrastructure that powers the next generation of Federato’s platform. Your work will shape how AI systems interact with underwriting workflows and how intelligent automation is delivered to customers. This is an opportunity to work on foundational architecture for agent-driven software, with real-world impact in one of the world’s largest industries. Base Salary: $215,000 - $250,000 a year Final offer amounts are determined by multiple factors including candidate location, experience and expertise and may vary from the amounts listed above. Total compensation package includes stock options, benefits and additional perks. Here at Federato, your capabilities are important, but culture fit is essential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun. Our ability to make a difference starts with our people. We would love to work with you! We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender expression, sexual orientation, age, marital status, veteran status or disability status. We will provide reasonable accommodation to individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation at talent@federato.ai

Requirements

Must-haves

There's nothing more exciting than transforming an industry that's been stagnant for decades.
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
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
Experience building production systems involving LLMs, agents, or prompt pipelines
Experience designing internal platforms or developer tooling
Familiarity with insurance, fintech, or B2B SaaS
Contributions to open-source AI or data infrastructure projects
Experience with Typescript
Why This Role Matters

Nice-to-haves

Bonus Points if...

Application prep

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