Artificial Intelligence Engineer is an exciting remote opportunity at James Search Group, based Remote. This role is ideal for AI professionals looking to work from home while contributing to cutting-edge artificial intelligence projects. Read the full job description below and apply today.
AI Engineer (Junior, Mid-Level & Senior)
Property & Casualty Insurance Carrier
About Our Client
James Search Group is partnering with a modern
Property & Casualty insurance carrier
investing heavily in data science and AI to enhance underwriting, pricing, claims, and enterprise decision-making. The organization blends
traditional insurance modeling
with modern machine learning and LLM-driven applications to deliver scalable, compliant, and high-impact solutions.
Core focus areas include:
Pricing & Rating Models:
Loss cost modeling, risk segmentation, and rate optimization
Underwriting Analytics:
Appetite definition, risk scoring, and portfolio management
Claims Intelligence:
Severity, fraud detection, and cycle-time reduction
Enterprise AI & Automation:
Platforms supporting analytics, decisioning, and LLM applications
About the Role
We are hiring
AI Engineers across junior, mid-level, and senior profiles
to build and productionize models used directly in
P&C insurance pricing, underwriting, and claims
. This role spans
classic machine learning model development
, actuarial-style pricing models, and modern
LLM-based applications
, all within a Git-driven, production engineering environment.
Key Responsibilities
Develop and maintain
classic ML models
(e.g., GLMs, GBMs, Random Forests, XGBoost) for P&C use cases
Build and support
pricing and rating models
, including loss cost, frequency/severity, and segmentation models
Partner with actuarial, underwriting, and product teams to translate business requirements into models
Design, deploy, and monitor production-grade ML pipelines and services
Build and optimize
LLM-powered applications
(prompt engineering, RAG pipelines, evaluation frameworks)
Contribute production code using
Git
(PRs, versioning, CI/CD)
Ensure models meet regulatory, governance, and explainability requirements
What We’re Looking For
Experience:
Junior through senior-level engineers (6+ years at senior level)
Core Skills:
Python; ML libraries (scikit-learn, XGBoost, TensorFlow, PyTorch); SQL
Insurance Modeling Experience (Strong Plus):
Pricing, rating, or loss modeling in P&C insurance
Familiarity with GLMs, credibility theory, and model governance
LLM Experience (Plus):
Foundation models (OpenAI, Anthropic, open-source LLMs)
RAG pipelines, embeddings, vector databases
Engineering Foundations:
Git, APIs, Docker, CI/CD, cloud platforms (AWS, Azure, GCP)
Communication:
Ability to explain models to actuarial, underwriting, and technical stakeholders
Why Join
Work on
core pricing and underwriting models
that directly impact profitability
Combine
traditional actuarial-style modeling
with modern ML and LLMs
Clear role scope across junior, mid, and senior levels
Competitive compensation, bonus, and comprehensive benefits
To apply or learn more, connect with James Search Group — a member of our team will be in touch.
