Teams at Cover Genius

Own end-to-end policy configuration on the XCore platform, translating stakeholder requirements into Python expressions and structured inputs for an AI Policy Agent. Responsibilities include policy specification, pricing, testing, financial validation, portfolio management, documentation, automated test maintenance, and post-launch issue resolution. The role requires validating AI-generated output against underwriting rules, pricing sheets, and specifications while collaborating with business stakeholders and maintaining accurate delivery estimates.

Build and maintain distributed partner solutions across backend services, batch pipelines, frontends, and infrastructure. Design APIs and third-party integrations, implement Infrastructure as Code, integrate AI development tools, monitor production reliability, troubleshoot issues, and collaborate with product managers, QA, engineers, and external partners. Produce technical documentation, participate in architecture discussions, and contribute to code quality, platform stability, observability, and Agile delivery.

Designs, evaluates, and ships production agentic AI systems for claims, customer operations, and partner-facing products. The role establishes architectures, evaluation frameworks, safety controls, metrics, and reusable engineering patterns. It requires hands-on LLM development, error analysis, technical leadership without authority, mentoring, cross-functional collaboration, and assessing new AI opportunities through rapid proofs of concept.