Description

Design and deploy AI models and LLM prompts for insurance underwriting workflows.

Responsibilities

• Develop custom AI prompts for live and batch interactions to automate underwriting processes.
• Integrate AI models into existing underwriting systems, ensuring compatibility with current workflows.
• Use AI algorithms to analyze submissions, assess risk factors, and predict potential loss scenarios.
• Collaborate with underwriting and IT teams to implement AI-driven tools that improve data accuracy.
• Implement loss assessment strategies to identify and mitigate risks using predictive modeling.

Required Skills

• 6+ years of total professional experience in software or data engineering.
• 3+ years of experience in AI or machine learning fields.
• Hands-on experience with MLOps and model lifecycle management.
• Practical application of Large Language Models (LLMs) in production environments.
• Strong foundation in Machine Learning principles and algorithms.
• Experience with prompt engineering and designing LLM-based outputs.
• Ability to integrate AI models into production workflows and existing systems.

Preferred Skills

• Bachelor's degree in Computer Science, Engineering, or equivalent experience.

Key Skills

Education

Any Graduate