Senior AI Engineer – CCC Auto, Agentic

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Take ownership of the delivery process for LLM-driven systems utilizing Python and TypeScript, transitioning from vague customer challenges to operational production.

• Define evaluation and guardrail strategies, implement release gates, monitor production signals, and conduct historical claims simulations.

• Enhance team methodologies for agentic coding tools, which include specifications, instructional files, hooks, and access policies.

• Create NLP pipelines that transform unstructured claim information into usable structured data.

• Develop and maintain resilient, event-driven, multi-tenant systems that feature deterministic workflows.

• Design failure modes, implement replay semantics, and establish cost profiles for agentic systems.

• Manage tracing and auditing to ensure model calls and agent steps can be accurately reconstructed and referenced.

• Set privacy and security standards, incorporating tenant isolation, least-privilege access, data redaction, retention policies, and controls for model-provider data.

• Draft design documents, review designs and code, while mentoring fellow engineers.

• Engage in a shared on-call duty rotation.

• In the initial six months, regulate model changes with evaluations, ensuring maintained or enhanced accuracy.

⛳️ Requirements

• Minimum of 6 years of professional software engineering experience, particularly with an LLM-powered system that has been architected, delivered to external clients, and undergone at least one model or prompt migration.

• Proficient in Python and TypeScript, with a focus on async models, strict typing, testing strategies, and performance profiling.

• Proven experience in establishing evaluation and guardrail strategies for specific product domains.

• Regular production usage of tools such as Claude Code, Cursor, GitHub Copilot, or comparable agentic coding solutions.

• Background in designing pipelines that integrate LLMs, semantic search capabilities, and traditional NLP techniques.

• Skilled in creating robust, event-driven systems characterized by deterministic orchestration, compensating actions, idempotency, backpressure management, and event-sourced replay.

• Expertise in data modeling across various database types, including relational, document, and graph databases like PostgreSQL, MongoDB, and Neo4j.

• Experience in operating systems on platforms like Azure or AWS, with a focus on CI/CD and infrastructure as code.

• Practical knowledge of Temporal or Durable Task Scheduler.

• Experience in authoring technical design documentation that spans multiple teams.

• Ability to communicate clearly in writing and discussions for both technical and non-technical audiences.

• Video interview is mandatory.

• Candidates must refrain from using generative AI or automated assistance during interviews unless explicitly permitted.

🏝️ Benefits

• 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