Staff Software Engineer, AI Systems

Federato Technologies; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Federato, an AI-native platform, seeks an senior backend engineer to design agent workflows and orchestrate AI-powered features. You will build backend services that connect LLMs with structured insurance data and platform APIs.

Join a fast-paced team shaping tooling, context management, and agent execution while collaborating with product and design to translate underwriting workflows into AI-enabled experiences.

Qualifications

• 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.
• Comfortable navigating ambiguity and working in a fast-paced, collaborative environment.

Responsibilities

• Design and implement agent workflows and orchestration systems for AI-powered features.
• Build backend services that integrate LLMs with structured 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.

Skills

Backend engineering

Data engineering

LLMs

Agent systems

Prompt design

Python

Cloud infrastructure

Distributed systems

APIs

Typescript

Tools

Typescript

Job description

Responsibilities

• 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

Requirements

• 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

Preferred Qualifications

• 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

About the Company

Federato is an AI-native platform bringing agentic AI to the full policy lifecycle, transforming how insurance work gets done. They have raised $180 million in funding, including a $100 million Series D from Goldman Sachs.