AI Engineer (CCC Auto / Agentic)

Location: Chicago, IL or Remote within the United States

Salary: $170,000–$195,000 per year; bonus eligible

Company

CCC Intelligent Solutions provides a cloud platform and AI technology for the insurance, vehicle repair, automotive, and claims industries.

What you will do

• Ship LLM-powered features and agentic workflows in Python and TypeScript from product scoping through production.
• Design evaluations, guardrails, feedback loops, token budgets, and latency budgets for trustworthy AI features.
• Build and operate event-driven services with deterministic workflows, retries, idempotent handlers, checkpointed model outputs, and on-call support.
• Maintain NLP pipelines combining semantic search, classical NLP, structured outputs, tool calling, embeddings, and LLMs.
• Trace model calls and agent steps with citations to source documents, alerts, and auditability.
• Design secure, tenant-isolated systems and model claims data across relational, document, and graph databases.

Requirements

• 3+ years of professional software engineering experience, including at least one LLM-powered feature shipped and operated in production.
• Professional depth in Python and TypeScript, including typed, tested, asynchronous code in both.
• Experience designing LLM evaluations and shipping guardrails.
• Daily production use of Claude Code, Cursor, GitHub Copilot, or a similar agentic coding tool, including constraining context and verifying generated output.
• Experience building pipelines that combine LLMs, semantic search, and classical NLP, including structured output, tool calling, embedding-based retrieval, and a case where a classical technique outperformed an LLM.
• Experience with message- or event-driven architectures, long-running workflows, retries, idempotent handlers, event-sourced state, and an LLM or agent step within a workflow.
• Experience with relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including partitioning, consistency, and tenant-isolation decisions.
• Experience operating backend services on Azure or AWS and exposure to Temporal or Durable Task Scheduler.
• Experience writing technical design documents, obtaining team feedback and buy-in, communicating with technical and non-technical audiences, and participating in code review.

Nice to have

• React and TypeScript experience, especially chat, streaming, and citation-heavy AI experiences.
• CI/CD and infrastructure as code experience with Terraform or Bicep.
• Experience with agent frameworks including LangGraph or Microsoft Agent Framework, and MCP, A2A, command-line, or microservice tool integrations.
• Experience with LangSmith, Arize, Braintrust, OpenTelemetry tracing, AI A/B testing, or historical-claims simulations.
• Insurance, claims, or automotive repair domain experience.

Culture & Benefits

• Collaborative, ambitious, empathetic, inclusive environment focused on measurable outcomes and technical ownership.
• Shared on-call rotation for services built by the engineering team.
• 401K match, paid time off, health insurance, annual performance bonus, adoption assistance, tuition reimbursement, wellness programs, and stock purchase plan options.
• Employee Resource Groups and opportunities for career development and meaningful customer impact.

Hiring process

• A video interview is required; interviews are transcribed and may be reviewed by CCC and its recruiters.
• Generative AI or automated assistance is not permitted during interviews unless explicitly allowed for a specific exercise.