Senior Software Engineer, Insurance

Porch Group is a leading vertical software and insurance platform, seeking a Senior Software Engineer for their insurance platform team. The role involves building and owning key services that power insurance products, utilizing AI coding tools in a hands-on capacity.

Responsibilities:

• 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
• 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
• 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
• 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
• 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

Requirements:

• 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 workflows — running in real software, not just prototypes
• Working familiarity with agentic AI coding tools as part of your day-to-day development, with a point of view on what makes AI-assisted work reliable
• Requires minimal direction to deliver in your area, and comfortable working in unfamiliar parts of the codebase with guidance
• US-based; able to work core business hours
• Exposure to homeowners or other personal-lines P&C insurance systems, or eagerness to ramp deeply on the domain
• Experience contributing to a custom-built policy administration system, or to a migration off a legacy/vendor PAS (data migration, parallel-run validation, cutover)
• Experience with AI evaluation, observability for agent runs, prompt and model versioning, or AI cost-management
• Working knowledge of Model Context Protocol (MCP), function calling, and structured outputs, and patterns for grounding LLMs in regulated content
• Familiarity with regulatory frameworks: SERFF rate filings, NAIC data calls, state DOI requirements, and the NAIC AI bulletin
• Working knowledge of insurance data standards (ACORD, MISMO) and the open-source PCDM data model
• Background in cloud-native infrastructure (GCP preferred), event streaming (Kafka), and modern observability practices
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience