Senior AI Engineer (CCC Auto / Agentic)

Location: Chicago, IL or Remote (United States)

Salary: $180,000–$225,000 annually, plus bonus eligibility.

Company

CCC Intelligent Solutions provides a cloud platform and AI solutions for the insurance, vehicle repair, automotive, and claims industries, serving more than 35,000 businesses.

What you will do

• Own LLM-powered systems from ambiguous customer problems through production operation, collaborating with product managers and data scientists.
• Define evaluation and guardrail strategies, release gates, production signals, and historical-claim simulations for model changes.
• Design NLP pipelines combining LLMs, semantic search, and classical NLP to transform unstructured claims data into actionable structured data.
• Build durable, event-driven, multi-tenant systems with deterministic workflows around agent steps, including failure handling, replay semantics, idempotency, backpressure, and cost controls.
• Own model tracing and auditability, privacy, security, tenant isolation, least-privilege access, redaction, retention, and model-provider data controls.
• Author cross-team technical designs, review architecture and code, mentor engineers, and participate in shared on-call rotation.

Requirements

• 6+ years of professional software engineering experience, including architecting and shipping an LLM-powered system to external customers and completing at least one model or prompt migration.
• Advanced Python and TypeScript experience, including setting team conventions for async models, typing strictness, testing, and profiling and fixing performance issues.
• Experience setting evaluation and guardrail strategies, including human-approval points and feeding production corrections back into evaluations.
• Daily production use of Claude Code, Cursor, GitHub Copilot, or a similar agentic coding tool, with experience constraining context, verifying output, and reversing changes when necessary.
• Experience designing pipelines that combine LLMs, semantic search, and classical NLP, including defensible retrieval designs and cases where classical methods improved cost, latency, or reliability.
• Experience designing durable event-driven systems with deterministic orchestration around non-deterministic model steps, including compensating actions, idempotency, backpressure, and event-sourced replay.
• Data modeling and development with relational, document, and graph databases such as PostgreSQL, MongoDB, and Neo4j, including partition-key, consistency, and tenant-isolation decisions.
• Experience architecting and operating systems on Azure or AWS with CI/CD, infrastructure as code, and a durable workflow engine such as Temporal or Durable Task Scheduler.
• Experience authoring technical design documents for systems spanning multiple teams and communicating trade-offs to technical and non-technical audiences.

Nice to have

• React and TypeScript experience, especially for chat, streaming, and citation-heavy AI experiences.
• Experience with agent frameworks including LangGraph, PydanticAI, or Microsoft Agent Framework, and agent tool protocols such as MCP or A2A.
• Experience with LLM observability and evaluation tools such as LangSmith, Arize, Braintrust, and OpenTelemetry-based tracing.
• Experience designing A/B tests for AI features.
• Exposure to insurance, claims, or automotive repair domains.

Culture & Benefits

• Ambitious, collaborative, empathetic culture centered on integrity, customer focus, innovation, inclusion, diversity, tenacity, and connection.
• Benefits include 401(k) match, paid time off, annual performance bonus, comprehensive health insurance, adoption assistance, tuition reimbursement, wellness programs, and stock purchase plan options.
• Employee Resource Groups and an inclusive workplace where diverse perspectives and contributions are valued.
• Video interviews are required, transcribed, retained, and potentially reviewed by CCC and recruiters.

Hiring process

• Do not use generative AI or automated assistance during interviews unless the interview team explicitly allows it for a specific exercise.
• Interview transcriptions are retained and may be reviewed by CCC and its recruiters.