The RoleAs a Senior AI Engineer, you'll own agents end to end within a problem area, from the first prototype to measured performance in production. You'll join a new engineering group at CCC building AI-native products for our auto casualty business, the injury side of auto claims. The group is small and senior, and it's growing fast. Our teams work on:
Medical bills: AI products that help claims teams handle the medical bills on injury claims accurately and efficiently.
Claims decision support: products that help claims professionals make better, faster decisions on injury claims.
Agentic Rules Platform: the rules engine and agentic tooling behind decisions across our casualty products, plus the evaluation infrastructure every team relies on.
You'll build the AI agents behind our products. They work with complex documents and claim data, call tools, and support claims experts in their daily work. You'll own the orchestration, retrieval, evaluations, and guardrails that make them safe to rely on, and you'll write the production code to ship them.
Salary range is:
$180,000 - 225,000
This position is bonus eligible.
Key Responsibilities:- Design and build LLM-powered agents and workflows: orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review
- Build evaluations with data 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
What success looks like: - In your first month, you've shipped a measured improvement to an existing agent.
- By six months, an agent you built is in production with customers, backed by evaluation results.
Requirements:- Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs
- Strong production engineering skills in Python, including API services, and comfort working in TypeScript
- At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering
- Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change
- A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real
- Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through
Nice to have: - Document understanding, OCR, or extraction from complex documents
- Experience fine-tuning LLMs or working with multimodal data
Interview Policy & Privacy Notice:A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.
CCC offers competitive compensation and benefits to support you and your families, including:
- 401K Match
- Paid time off
- Annual Incentive Plan Performance Bonus
- Comprehensive health insurance
- Adoption Assistance
- Tuition Reimbursement
- Wellness Programs
- Stock Purchase Plan options
- Employee Resource Groups
For more information about our benefits, please check out our careers site.
