CCC Intelligent Solutions

AI Engineer

• Own delivery of LLM-powered systems in Python and TypeScript from ambiguous customer problem through production operation
• Scope problems with product managers and data scientists
• Set evals and guardrails strategy, release gates, production signals, and historical-claims simulations
• Establish standards for agentic coding tools, including specifications, instruction files, hooks, permission policies, and code review
• Design NLP pipelines that turn unstructured claim data into structured customer-actionable data
• Choose where semantic search, classical NLP, or an LLM fits
• Build and operate durable, event-driven, multi-tenant systems with agents as steps inside deterministic workflows
• Design failure modes, replay semantics, and cost profiles
• Own tracing and audit so model calls and agent steps can be reconstructed and cited to sources
• Own claims-data modeling and handling across relational, document, and graph stores
• Establish privacy and security baselines, including tenant isolation, least-privilege access, redaction, retention, and personal/medical data controls
• Author complex-system design documents and review other engineers' designs and code
• Mentor engineers
• Participate in a shared on-call rotation
• In the first six months, gate model changes with evals, catch regressions before customers see them, and demonstrate accuracy outcomes

Senior AI Engineer