Senior Software Engineer, Insurance

Job Title

Senior Software Engineer, Insurance

United States (Remote)

Porch is reimagining what it means to be an insurance technology company, and we’re building it from the inside out. As a Senior Engineer on our insurance platform team, you’ll build and own key services that power how we underwrite, administer, and scale insurance products. We’re an AI‑first organization, so you’ll do your day‑to‑day development with agentic AI coding tools — not as an experiment, but as the way we ship.

This is a hands‑on build role on a greenfield platform.

• AI‑Native Engineering
  :
  Use agentic AI coding tools as your primary development methodology for the platform build, not as an experimental side channel. Work within the team’s agent configuration patterns, custom skills, and CI/CD integration — and help improve them as you find rough edges. Make sure the code you ship with AI assistance meets our standards: a green CI pipeline, passing evaluations, and clean pre‑commit hooks are non‑negotiable.
  
  Apply good spec‑driven, context‑management practices that separate productive AI‑assisted work from churn, and share what works with your teammates.
• AI Capability in the Platform
  :
  Build agentic capabilities into the platform — agent‑assisted configuration, AI‑driven underwriting decisioning, document understanding for declarations and endorsements, and conversational interfaces for the operations team. Contribute to the RAG pipelines, retrieval, and tool‑use patterns that ground LLM behavior in regulated insurance content (rate manuals, underwriting guidelines, state‑specific rules). Implement the integration patterns (MCP, function calling, structured outputs) that expose platform capabilities to internal agents and external partners.
  
  Add observability, evaluation, and cost instrumentation to the AI features you own so their behavior is measurable, debuggable, and bounded. Follow the responsible‑AI guardrails that keep agent‑influenced decisions auditable and aligned with insurance regulatory requirements.
• Platform Architecture & Build
  :
  Design and build core PAS services in your area — quoting, rating, binding, issuance, endorsements, renewals, cancellations, and reinstatements — making well‑reasoned design decisions and tradeoffs as you go. Contribute to the rating engine, product configuration layer, and rules framework that let business teams launch new states and products without engineering bottlenecks. Implement data models for policy lifecycle, exposure management, and regulatory compliance, with guidance from senior engineers on the broader architecture.
  
  Build within the platform’s event‑driven patterns and integration architecture for the carrier, vendor, and partner systems the platform speaks to.
• Transformation & Migration
  :
  Build migration tooling: automated data extraction, transformation, validation, and reconciliation pipelines. Help keep existing vendor platforms stable while we build the replacement — you’ll context‑switch between “keep the lights on” and “build the future” without dropping either.
• Collaboration & Growth
  :
  Partner with Product and Insurance SMEs to refine requirements and turn domain needs into working software. Participate in design reviews, and support teammates through constructive code reviews and ad‑hoc technical advice. Lead by example — strong ownership, accountability, and a high quality bar — and help other engineers grow their skills. Stay hands‑on. This is a build role: you write production code every week.

• 5+ years of professional software engineering experience building and operating backend services in production.
• Demonstrated ability to lead at least one project from conception to production, breaking work into reasonably sized, well‑tested releases.
• Production‑grade engineering depth in Python, Java, or a comparable backend language; comfortable across the stack from data model to API to deployment.
• Solid systems design fundamentals: distributed systems, event‑driven architecture, API‑first design, and data modeling for transactional workloads.
• Hands‑on experience building LLM‑integrated features — RAG, tool use, or agent…