Staff Software Engineer, AI Systems

Posted Yesterday
Hiring Remotely in USA
Remote
215K-250K Annually
Expert/Leader
Insurance • Software
The Role
Build backend architecture and infrastructure for LLM-driven agent systems, including orchestration, tool integration, context management, evaluation, observability, and production deployment. Develop services connecting AI models with insurance data and platform APIs, define reliable AI-native architectural patterns, and collaborate with product, design, and engineering teams to deliver underwriting workflows.
Summary Generated by Built In

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 [email protected]

Skills Required

  • 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 with cloud infrastructure and distributed systems
  • Ability to work across infrastructure, backend, data, and product integration layers
  • Curiosity about emerging AI architectures and agent patterns
  • Ability to work in ambiguous, fast-paced, collaborative environments
  • 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

Federato Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Federato and has not been reviewed or approved by Federato.

  • Fair & Transparent Compensation Pay ranges are described as competitive for several roles, with posted bands spanning entry-level support through senior engineering and leadership. Compensation is also framed as total rewards that can include bonuses, commissions, and profit sharing in addition to base pay.
  • Equity Value & Accessibility Stock options are repeatedly referenced as part of the total compensation package, suggesting equity participation is broadly included in offers. This equity component is positioned as a meaningful add-on beyond cash compensation.
  • Healthcare Strength Health-related coverage is described as part of a standard startup benefits bundle, with references to medical, dental, and vision as included items. Benefits are characterized as solid overall even when specific plan details are not publicly enumerated.

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The Company
HQ: San Francisco, CA
36 Employees
Year Founded: 2020

What We Do

Federato is an underwriting platform for insurance carriers that provides real-time insights to encourage empowerment, good risk taking and strong decision-making at all levels of underwriting.

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