---
title: 'Staff Software Engineer, AI Systems at Federato'
canonical: 'https://feeny.ai/job/staff-software-engineer-ai-systems-federato-remote-f1xj1k8j4139'
type: 'job'
last_seen: '2026-09-25'
---

# Staff Software Engineer, AI Systems at Federato

- **Company:** Federato
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-25
- **Apply:** https://job-boards.greenhouse.io/federato/jobs/5430208008

## Job description

There's nothing more exciting than transforming an industry that's been stagnant for decades.

[Federato](https://www.federato.ai/) 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

## About Federato

## Company Overview
- **One-liner**: Federato provides an AI-native underwriting platform for the property & casualty (P&C) insurance industry, using agentic AI and deep reinforcement learning to help carriers, MGAs, and mutuals optimize portfolio performance across the full policy lifecycle.
- **Entity Type**: Private (Series D, $100M raised in Nov 2025.)
- **Headquarters**: San Francisco, CA, USA
- **Founded**: 2020
- **Founders**: Will Ross (CEO) and William Steenbergen (CTO)

## Core Business
- **Primary industry/industries**: Insurance Technology (Insurtech), Enterprise SaaS, Artificial Intelligence
- **Target customers**: P&C insurance carriers, Managing General Agents (MGAs), MGA Aggregators, and Mutual insurance companies (B2B, Enterprise).
- **Mission or purpose statement**: Through the use of bleeding-edge deep reinforcement learning and AI, we enable insurers to provide efficient and affordable coverage to underserved communities, people, and organizations in the face of societal issues and risks like the climate crisis, cyber attacks, and social inflation.

## Products & Services
- **Federato RiskOps Platform**: An AI-native SaaS platform that spans the full policy lifecycle. It uses a tiered approach to AI underwriting - from basic triage and AI Decision Support to Supervised AI Underwriting (automatically quoting deals within guardrails for audit) and fully **Agentic AI Underwriting** that drafts complete, explained quotes for underwriter review in seconds. The platform provides a single-pane-of-glass view of workflows, real-time portfolio visibility, and dynamic strategy alignment to prevent “strategy drift.”

## Market Standing
- **Valuation/Market Cap**: Not disclosed.
- **Key Metric**: **Total Funding: $180M** across 5 rounds (Pre-Seed, Series A $15M, Series B $25M, Series C $40M, Series D $100M). **Annual Revenue**: Estimated at $37M.
- **Notable Investors/Partners**: Goldman Sachs Alternatives (led Series D), Pear VC (led Pre-Seed), Emergence Capital (led Series A), Caffeinated Capital (led Series B), StepStone Group (led Series C). Cloud partner: Google Cloud. Customer: QBE North America.
- **Growth Signals**: Headcount grew **~98.3% year-over-year** to ~190 employees. Has active job postings for 19 roles across Engineering, Sales, Customer Success, and Marketing. Expanded into UK and Canadian markets with dedicated sales directors.

## Competitive Advantages
- **Agentic AI “Built In, Not Bolted On”**: The platform is deeply native to the insurance workflow, using deep reinforcement learning and LLMs to not just rank deals but execute quoting and provide reasoning, with a tiered automation maturity model.
- **Real-time Portfolio Optimization**: Differentiator vs. legacy core systems (described as “the problem”). Allows insurers to dynamically shift appetite and see real-time goal progress, solving the “strategy drift” problem where less than 25% of bound risk aligns with strategy.
- **Customer Results**: Claims a **90% reduction in time to quote**, an **89% reduction in systems used**, a **30% lift in high-appetite premiums**, and a **50% increased hit ratio**.

## Strategic Focus
- **Expansion & Market Penetration**: Actively scaling internationally (UK, Australia/ANZ) and across different insurance segments (MGAs, Mutuals, Carriers).
- **Product Maturity**: Pushing towards “Maturity Level 5” (Full autonomous AI underwriting within guardrails). Heavy investment in Forward Deployed Engineering and Machine Learning to customize and integrate the platform with large carrier legacy systems.
- **Talent Acquisition**: Aggressively hiring across technical roles (Staff Software Engineer, Forward Deployed Engineers, ML Engineers) and go-to-market roles (Sales Directors for ANZ and UK, Customer Success) to support rapid growth.

## Why Work Here
- **Culture & Values**: Described as “putting the ‘service’ back into enterprise SaaS” with deep insurance subject matter expertise. Rated **4.3/5 on Glassdoor** (Culture: 4.2, Career: 4.5, Compensation: 4.5).
- **Remote-First**: The vast majority of roles are listed as **Remote** (US, Canada, UK, Australia). Significant technical team presence in Canada (13% of workforce) and commercial presence in the UK.
- **Engineering Excellence**: The company is tackling hard technical problems at the intersection of deep RL, large language models, and enterprise workflows, offering a chance to work on “bleeding-edge” AI in a high-stakes industry. Heavy focus on Forward Deployed Engineering and ML.
- **Growth Trajectory**: With 100%+ headcount growth, $180M in funding, and a massive total addressable market (legacy core system replacement), the company offers strong career advancement potential.
- **Team**: Leadership includes veterans from top SaaS companies (Emergence Capital-backed) and deep insurance domain expertise.

## Sources
1. [federato.ai](https://www.federato.ai/)
2. [federato.ai/about](https://www.federato.ai/about)
3. [linkedin.com/company/federato](https://www.linkedin.com/company/federato)
4. [job-boards.greenhouse.io/federato](http://job-boards.greenhouse.io/federato)

## Other roles at Federato

- [RVP, EMEA Sales](https://feeny.ai/job/rvp-emea-sales-federato-united-kingdom-01cavttbqjac) — United Kingdom
- [RVP, US Sales](https://feeny.ai/job/rvp-us-sales-federato-remote-hb7vg0mqagwr)
- [Sales Director](https://feeny.ai/job/sales-director-federato-remote-0676sfy25wey)
- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-federato-remote-c65bg92pa6av)
- [Staff Software Engineer](https://feeny.ai/job/staff-software-engineer-federato-remote-0p52cmbnszdr)
- [Senior Forward Deployed Engineer](https://feeny.ai/job/senior-forward-deployed-engineer-federato-remote-kjy4yqsz3mm5)
- [Customer Engineer (Pre-Sales) ANZ](https://feeny.ai/job/customer-engineer-pre-sales-anz-federato-australia-xwpw0wfcy3xr) — Australia