Software Engineer, Applied AI
Core
Design and ship production AI systems to power underwriting and pricing engines for commercial insurance.
Role type
Senior IC Applied AI Software Engineer
Builds
LLM-powered features, AI agents, RAG systems, and production-grade AI infrastructure for risk evaluation and pricing.
Domain
Commercial insurance / Applied AI / High-hazard industries
Deliverable
production ML models | product features | infrastructure
Required skills
Backend engineering, scalable APIs, distributed systems, LLMs, RAG architectures, embeddings, vector databases, cloud infrastructure, model serving, inference, evaluation, monitoring, prompt engineering
Preferred skills
AI agents, multi-step reasoning systems, applied machine learning beyond generative AI, pricing systems, financial infrastructure, risk modeling
Technologies
Node.js, Postgres, Redis, GraphQL, Apollo, React, Next.js, Typescript
Responsibilities
Partner with product, engineering, underwriting, and data teams to identify high-leverage AI opportunities; Design, build, and deploy LLM-powered features across underwriting, pricing, and internal tooling; Develop AI agents and retrieval-augmented systems that extract structured insights from unstructured insurance data; Build production-grade AI infrastructure for model serving, inference, evaluation, and monitoring; Create internal AI tools that enable underwriters and operators to move faster with higher quality decisions; Establish best practices for prompt engineering, evaluation frameworks, and model reliability
Seniority
Senior, hands-on IC