Lead AI Engineer: LLM‑Powered Claims & Pipelines

CCC Intelligent Solutions; Oregon; Hybrid; USD 170,000 - 195,000; Full time

Benefits offered by this job

401K Match

Paid time off

Annual Incentive Plan Bonus

Comprehensive health insurance

Tuition Reimbursement

Wellness Programs

Stock Purchase Plan options

Employee Resource Groups

Job summary

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform serving insurers, repairers, automakers, and others.

As an AI Engineer, you will build and ship LLM-powered features and agentic workflows for our customers, focusing on trustworthy, privacy-conscious implementations and end-to-end ownership of features. We seek candidates with 3+ years of software engineering, strong Python/TypeScript skills, and a track record of production-grade LLM features, including pipelines blending NLP and

Qualifications

• 3+ years of professional software engineering experience.
• At least one LLM-powered feature shipped and operated in production.
• Proficiency in Python and TypeScript with strong depth in one.

Responsibilities

• Ship LLM-powered features and agentic workflows from product scope to production.
• Write evals, guardrails, and feedback loops for trustworthy outputs.
• Maintain NLP pipelines turning unstructured claim data into structured data.
• Design and build durable event-driven services with checkpointed model outputs.
• Ensure privacy and security are considered from the start.

Skills

Python

TypeScript

Async code

LLM-powered features

Tools

Claude Code

Cursor

GitHub Copilot

Job description

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform serving insurers, repairers, automakers, and others.

As an AI Engineer, you will build and ship LLM-powered features and agentic workflows for our customers, focusing on trustworthy, privacy-conscious implementations and end-to-end ownership of features. We seek candidates with 3+ years of software engineering, strong Python/TypeScript skills, and a track record of production-grade LLM features, including pipelines blending NLP and