Senior AI Engineer – CCC Casualty, Claims Intelligence

EvolutionIQ

. Own AI agents end to end within a problem area, from the first prototype to measured performance in production .

Posted 11/4/2026full-timeRemote • Illinois • United StatesSenior💰 $180,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing LLM-powered AI agents for production, with a strong focus on performance evaluation, metrics analysis, and engineering best practices. Proficient in Python and TypeScript, with a quantitative mindset for measuring improvements and handling sensitive data.

Highest-signal resume keywords

LLM-Powered Product DevelopmentPython Production EngineeringEvaluation Design for Non-Deterministic SystemsMetrics and Error AnalysisAI-Assisted Engineering Tools

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonTypeScriptLLM DevelopmentPrompt EngineeringRetrieval-Augmented GenerationData LabelingError AnalysisDocument UnderstandingOCRFine-Tuning LLMs

Soft Skills

Quantitative MindsetProblem-Solving

Tools & Technologies

AI AgentsProduction SystemsObservability ToolsCost Optimization ToolsLatency Optimization Tools

Industry Keywords

Auto Casualty BusinessInjury ClaimsHuman-in-the-Loop ReviewComplex Document Extraction

Tech Stack

Tools & technologies

PythonTypeScript

About the role

Key responsibilities & impact

Own AI agents end to end within a problem area, from the first prototype to measured performance in production
Build AI-native products for the auto casualty business, particularly the injury side of auto claims
Design and build LLM-powered agents and workflows involving orchestration, tool use, retrieval, structured extraction, and human-in-the-loop review
Build evaluations with data labelers and subject matter experts, and run them on every change
Make agents production-grade through guardrails, observability, cost and latency optimization, and careful handling of sensitive health data
Ship measured improvements to existing agents
Deliver agents to production with customers, backed by evaluation results

Requirements

What you’ll need

Typically 5+ years of professional software or ML engineering experience, including meaningful recent work with LLMs
Strong production engineering skills in Python, including API services, and comfort working in TypeScript
At least a year of shipping LLM-powered products to real users, including retrieval (RAG, embeddings, vector search) and prompt engineering
Experience designing evaluations for non-deterministic systems, and the habit of measuring before and after every change
A quantitative mindset: you're comfortable with metrics, sampling, error analysis, and knowing when a result is real
Real experience shipping faster with AI-assisted or agentic engineering tools, with examples you can walk us through
Nice to have: Document understanding, OCR, or extraction from complex documents
Nice to have: Experience fine-tuning LLMs or working with multimodal data
A video interview is required for this position
Candidates are not permitted to use generative AI or automated assistance during interviews unless explicitly allowed by the interview team for a specific exercise

Benefits

Comp & perks

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