Senior AI Engineer - LLM-Powered Claims Intelligence

CCC Intelligent Solutions; Oregon; Híbrido; USD 180.000 - 225.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

401K Match

Paid time off

Annual Incentive Plan PerformanceBonus

Comprehensive health insurance

Tuition Reimbursement

Wellness Programs

Stock Purchase Plan

Descripción de la vacante

CCC Intelligent Solutions is hiring a Senior AI Engineer to own AI-enabled agents end-to-end, from prototypes to production. You will design, build, and operate LLM-powered agents for injury claim workflows, with emphasis on guardrails, observability, and data safety.

The role requires 5+ years in software or ML engineering, strong Python/API experience, and hands-on work with retrieval and evaluation design. A video interview is part of the process.

Formación

• 5+ years of professional software or ML engineering experience.
• Strong production engineering with Python and API services; TypeScript comfort.
• At least 1 year shipping LLM-powered products with retrieval (RAG, embeddings) and prompt engineering.
• Experience designing evaluations for non-deterministic systems, and measuring before and after changes.
• Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through.

Responsabilidades

• Design and build LLM-powered agents and workflows: orchestration and tool use.
• Implement retrieval, structured extraction, and human-in-the-loop review.
• Build evaluations with labelers and subject matter experts, and run them on every change.
• Make agents production-grade: guardrails, observability, cost and latency, and careful handling of sensitive health data.

Descripción del empleo

CCC Intelligent Solutions is hiring a Senior AI Engineer to own AI-enabled agents end-to-end, from prototypes to production. You will design, build, and operate LLM-powered agents for injury claim workflows, with emphasis on guardrails, observability, and data safety.

The role requires 5+ years in software or ML engineering, strong Python/API experience, and hands-on work with retrieval and evaluation design. A video interview is part of the process.