Staff Software Engineer, AI Systems

Federato

About The Position

Federato is seeking a Software Engineer, AI Systems to help build the backend architecture for their emerging agent systems. This role is at the intersection of software engineering, data infrastructure, and applied AI. The successful candidate will work across the stack to design and implement systems that power LLM-driven product capabilities, including orchestration, tool integration, evaluation, and production deployment. This is a high-impact role with significant ownership over both experimentation and production implementation, ideal for engineers who enjoy working across layers of the stack and are excited about shaping how agent systems operate within real production software. The role involves collaborating closely with product managers, designers, and engineers to integrate AI-powered workflows directly into the underwriting platform.

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

Nice To Haves

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

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