10 hours ago
Base Salary
$215k - $250k/yr
Responsibilities
- Design and implement agent workflows and orchestration systems for AI-powered product features.
- Build backend services integrating LLMs with structured insurance data and platform APIs.
- Develop tooling, context-management, and agent-execution infrastructure.
- Contribute to frameworks for prompt iteration, evaluation, and observability.
- Partner with product and design teams to translate underwriting workflows into AI-enabled product experiences.
- Define architectural patterns for reliable AI-native production features.
- 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 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, and product integration layers.
- Experience with LLMs, agents, or prompt pipelines, internal platforms or developer tooling, insurance, fintech, B2B SaaS, or open-source AI/data infrastructure is beneficial.
- Experience with TypeScript is beneficial.
Benefits
- Base salary is $215,000–$250,000 per year, with stock options, benefits, and additional perks.
- The role offers significant ownership over experimentation, production implementation, and foundational AI architecture.
Tech Stack
Categories
About Federato
Federato builds an AI-native RiskOps platform for insurance carriers and MGAs, combining underwriting workflow, real-time risk selection, and portfolio insights across the policy lifecycle. Sold as enterprise software, it helps underwriters generate on-strategy quotes and manage exposure using data-driven recommendations integrated into existing systems. Founded in 2020 and headquartered in San Francisco, the company is privately held.