Ai Engineer

Summary

Join Cytora, a high-growth InsurTech start-up, as an AI Engineer (LLM) and play a critical role in developing our core Large Language Model (LLM) service. You will build, deploy, and optimize LLM-powered solutions impacting our customer's risk processing. Collaborate with domain experts and service teams to define and implement efficient LLM tasks, including information extraction, risk assessment, and document summarization. You will also evaluate and optimize LLM performance, ensuring high reliability and accuracy. This role requires strong analytical and problem-solving skills, experience with LLMs, and proficiency in Python. Cytora offers competitive benefits, including stock options, enhanced parental leave, private health insurance (UK only), flexible working, and a travel budget.

Requirements

• Possess strong analytical and problem-solving skills, with the ability to address complex AI challenges
• Possess strong communication skills, with the ability to work effectively with cross-functional teams
• Demonstrate a passion for using AI to solve complex problems and a willingness to learn
• Have experience in and strong knowledge of using AI/ML and more particularly LLMs
• Be proficient in Python and specifically with mypy and asyncio

Responsibilities

• Engage deeply with domain experts and product managers to understand and define key business problems within risk processing in commercial insurance that can be solved with LLMs
• Collaborate closely with consuming service teams to define clear, efficient, and scalable interfaces for LLM tasks
• Design, develop, test, and deploy domain-specific LLM tasks (e.g., information extraction, risk assessment, document summarization, etc.) that are readily consumable by other Cytora services
• Stay up-to-date with the latest advancements in LLM technology and actively explore new models, techniques, and tools to enhance our capabilities e.g. Agentic AI
• Develop and implement comprehensive evaluation metrics and tools to rigorously assess and iterate on the performance of LLM tasks
• Analyze task performance, identify areas for improvement, and implement strategies to optimize accuracy, efficiency, and cost-effectiveness
• Monitor the performance of deployed LLM tasks in production, proactively identify and address issues, and ensure high reliability and accuracy

Preferred Qualifications

Have experience in using LLMs for document processing tasks

Benefits

• Stock options
• Enhanced parental leave
• Private health insurance - UK only
• Choice of laptop
• Flexi-working
• ��2000 travel budget
• Company trips