Production AI Engineer — LLM Features & Pipelines

CCC Intelligent Solutions Inc.; Chicago (IL); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

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

Job summary

CCC Intelligent Solutions Inc. is seeking an engineer to build and ship LLM-powered features and agentic workflows for insurers, repairers, automakers, and suppliers. You will automate routine claim tasks, design secure workflows, and ensure traceability.

You will own features end to end, from design to production, with a focus on privacy, security, and measurable performance. Responsibilities include creating evals and guardrails, reviewing generated code, and maintaining NLP pipelines that

Qualifications

• 3+ years of professional software engineering experience with at least one shipped LLM-powered feature
• Proficiency in Python and TypeScript (typed, tested, async)
• Experience designing evals/guardrails for LLM outputs and constraining context

Responsibilities

• Ship LLM-powered features and agentic workflows from problem scope to production traffic
• Write evals, guardrails, and feedback loops with token and latency budgets
• Review generated code for correctness, security, and design issues
• Maintain NLP pipelines to structure unstructured data from claims
• Build durable, event-driven services with checkpointed model outputs
• Trace model calls and agent steps for auditability with source citations
• Model and query claims data across relational, document, and graph stores

Skills

Python

TypeScript

LLM features

Production experience

Security design

Tools

Claude Code

Cursor

GitHub Copilot

Job description

CCC Intelligent Solutions Inc. is seeking an engineer to build and ship LLM-powered features and agentic workflows for insurers, repairers, automakers, and suppliers. You will automate routine claim tasks, design secure workflows, and ensure traceability.

You will own features end to end, from design to production, with a focus on privacy, security, and measurable performance. Responsibilities include creating evals and guardrails, reviewing generated code, and maintaining NLP pipelines that