Senior Software Engineer, Insurance

Emploi pas sur LinkedIn

🕒 il y a 1 mois

☕ Washington – Distant

☕ Washington – Remote

💵 $168 800 - $236 300 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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PORCH 💚

Site WebLinkedInTous les Emplois

1 - 10 employés

Fondée en 2022

💼 Conseil

🏥 Santé

🏨 Hôtellerie

Consulting • Healthcare • Hospitality

PORCH 💚 est une entreprise d'assurance de nouvelle génération qui fournit des logiciels et services complets à divers secteurs des services à domicile. Elle simplifie les interactions pour les professionnels de l'habitat, les clients des services publics, les agents immobiliers et les propriétaires en offrant des outils pour les inspections, les déménagements, les processus hypothécaires et l'entretien de la maison. Grâce à ses partenariats, Porch améliore l'expérience d'achat immobilier en simplifiant les demandes de services, l'intégration de nouveaux clients pour les entreprises de garanties et d'assurances, et en assistant dans les projets d'amélioration de l'habitat.

Description

• 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.

🎯 Exigences

• 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.

🏖️ Avantages

• Health insurance (three Medical plan options) • Dental plan options (two) • Vision plan • Critical Illness, Hospital Indemnity and Accident plans (voluntary) • Partially employer funded Health Savings Account • Employee Flexible Savings Accounts (healthcare, dependent care, transportation) • Company paid Basic Life and AD&D • Short and Long-Term Disability benefits • Voluntary Life and AD&D plans • Traditional and Roth 401(k) plans (with discretionary employer match) • Supportlinc (employer paid wellbeing program) • LifeBalance (year-round discounts) • Flexible paid vacation • Company-paid holidays (typically nine per year) • Paid sick time • Paid parental leave • Identity theft program • Travel assistance • Fitness and other discounts programs