Senior AI Engineer (CCC Auto / Agentic)

Ladders; United States; Remote; USD 180,000 - 225,000; Full time

Benefits offered by this job

Bonus eligibility

Mentor and lead engineering teams

Work on high-stakes, ambiguous problem

Job summary

Ladders is seeking a Senior AI Engineer (CCC Auto / Agentic) to own end-to-end delivery of LLM-powered systems. Remote, high-stakes environment with close collaboration with product managers and data scientists to turn unstructured claim data into reliable structured outputs.

You will design and enforce evals, guardrails, and privacy/security baselines while mentoring teams and shaping durable, deterministic workflows.

Qualifications

• 6+ years of software engineering experience shipping LLM-powered systems.
• Proficient in Python and TypeScript; experience optimizing performance.
• Experience defining evals and guardrails for product areas.
• Experience with durable, event-driven, deterministic orchestration.
• Designed NLP pipelines integrating LLMs, semantic search, and classical NLP.

Responsibilities

• Own the delivery of LLM-powered systems from scoping to production.
• Set evals and guardrails strategy for releases and monitor production signals.
• Enhance team workflows with agentic coding tools and maintain code reviews.
• Design NLP pipelines to convert unstructured claim data into structured data.
• Build and operate multi-tenant systems with deterministic workflows.
• Ensure comprehensive tracing and auditing for model calls and agent steps.
• Establish privacy and security baselines for all systems in your area.

Skills

Architecting LLM systems

MLOps & model monitoring

Python

TypeScript

Tools

Python

TypeScript

PostgreSQL

MongoDB

Job description

For our client, we are seeking a Senior AI Engineer (CCC Auto / Agentic) to join the team of a leader in the Business Services space.

This role will own the delivery of LLM-powered systems from early problem scoping through production operation in a high-stakes environment. The engineer will help define how agentic tools are used safely and effectively, while establishing clear eval and guardrails practices for releases. The position will also partner closely with product managers and data scientists to turn unstructured claim information into reliable structured outputs and durable workflows.

Location: Remote

Compensation: $180,000 – $225,000 annually

Responsibilities

• Own the delivery of LLM-powered systems from problem scoping to production operation.


• Set evals and guardrails strategy for releases and monitor production signals.


• Enhance team workflows with agentic coding tools and maintain code review standards.


• Design NLP pipelines to convert unstructured claim data into actionable structured data.


• Build and operate multi-tenant systems with deterministic workflows and defined failure modes.


• Ensure comprehensive tracing and auditing for model calls and agent steps.


• Establish privacy and security baselines for all systems in your area.

Qualifications

• 6+ years of software engineering experience, including architecting and shipping LLM-powered systems.


• Proficient in Python and TypeScript, with experience in setting team conventions and resolving performance issues.


• Experience in defining evals and guardrails strategies for product areas.


• Demonstrated ability to constrain agentic coding tools and verify outputs in production.


• Designed NLP pipelines integrating LLMs, semantic search, and classical NLP techniques.


• Experience with durable, event-driven systems and deterministic orchestration.


• Familiarity with data modeling across various database types, including PostgreSQL and MongoDB.

Benefits

• Bonus eligibility based on performance.


• Opportunity to mentor and lead engineering teams.


• Engagement with high-stakes, ambiguous problems.


• Collaborative work environment with product managers and data scientists.


• Focus on privacy and security in system design.

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification—your background could be exactly what this team needs.