AI Product Engineer - Origami Risk LLC

The AI Product Engineer is responsible for accelerating how Origami designs, assembles, and ships user-facing product experiences on the Origami Risk platform. This role focuses on low/no-code and AI-assisted solutions for technology-literate systems thinkers who understand services architecture, authentication, security, and integration patterns and can use AI tools to orchestrate end-to-end solutions quickly and safely. This person works directly with business and client stakeholders to turn outcomes and constraints into working product experiences, while partnering with Product, Architecture, DevOps, Security, and QA to ensure quality, compliance, and maintainability.

Starting base pay for this role is between $117,000 and $145,000. The actual base pay is dependent upon many factors, such as transferable skills, work experience, business needs, training, location, and market demands. The base pay range is subject to change and may be modified in the future. This role will be eligible for a bonus as well as competitive medical, dental, and vision benefits, wellness reimbursement, life insurance, and a 401(k) with company match. We offer vacation and sick leave benefits (under a flexible time off policy in most states).

• Translates business problems and user needs into shippable experiences and modules aligned to OKRs and ROI.
• Uses tools like Replit, ClaudeCode, and Cursor to draft, synthesize, and assemble functional components, integration glue, and configuration—without being a traditional software developer.
• Integrates front‑end experiences with Origami Risk platform services (e.g., data, workflow, rules, reporting, notifications, external connectors) using approved patterns and APIs.
• Applies SSO/OIDC/OAuth patterns, secrets management, role/permission models, data privacy, and auditability from day one.
• Partners with Architecture to choose patterns, ensure scalability/resilience, and align with reference architectures and guardrails.
• Iterates quickly with stakeholders and users; harden prototypes into maintainable production experiences with clear documentation and handoff plans.
• Collaborates with QA to specify acceptance criteria, test data, and automated checks (vulnerability scans, accessibility, basic UI tests).
• Designs features for telemetry (usage, performance, errors), defines runbooks, and ensures product health metrics are visible post‑launch.
• Adheres to regulatory and internal controls (e.g., SOC 2, HIPAA/PHI, PCI, where applicable), data handling policies, and secure SDLC practices.
• Maintains concise specs, PRDs-lite, architecture notes, and user‑facing release notes.
• Utilizes AI tools, platform capabilities, and approved patterns to assemble and ship user experiences and integrations at speed.
• Leverages AI to generate code and configurations as needed to ensure solutions meet standards and integrate correctly.