Senior AI Engineer (CCC Auto / Agentic)

Role overview Own the design, delivery, and operation of LLM-powered systems and agent workflows that support insurance claims. The role turns ambiguous customer needs into production software, with a strong focus on measurable quality, predictable workflow behavior, security, privacy, and traceable decisions. It also sets engineering standards and mentors others working in this area.

Responsibilities - Deliver customer-facing AI systems in Python and TypeScript, partnering with product managers and data scientists from scoping through production operations. - Define evaluation methods and release guardrails, monitor production signals, and test changes against historical claims before launch. - Design NLP pipelines that structure unstructured claim data, selecting among LLMs, semantic search, and classical NLP techniques. - Build durable, event-driven, multi-tenant workflows with defined failure handling, replay behavior, idempotency, and cost controls. - Establish tracing and audit practices so model calls and agent steps can be reconstructed and recommendations traced to their sources. - Set privacy and security controls, author and review design documents and code, mentor engineers, and join shared on-call coverage.

Requirements - At least six years of professional software engineering experience, including an LLM system personally architected, launched for external customers, and migrated across a model or prompt change. - Strong Python and TypeScript skills, including setting team conventions for asynchronous code, typing, and tests, plus profiling and resolving a performance issue. - Experience setting evaluation and guardrail strategies, including human review points and ways to feed production corrections back into evaluation. - Daily production use of an agentic coding assistant, with a clear approach to limiting its context and checking or rejecting its output. - Experience designing retrieval and NLP pipelines that combine LLMs, semantic search, and classical methods, and comparing tradeoffs in cost, latency, or reliability. - Experience with durable event-driven systems, deterministic orchestration, and relational, document, and graph data models.

Benefits and work setup - The role is bonus eligible, with a listed salary range of $180,000–$225,000. - Benefits include retirement plan matching, paid time off, health insurance, adoption assistance, tuition reimbursement, wellness programs, stock purchase options, and employee resource groups. - Video interviews are required and transcribed. Generative AI or automated assistance is not permitted during interviews unless the interview team explicitly allows it for a specific exercise.