AI Engineer

November 19

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Cytora

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Cytora is the configurable platform that enables commercial insurers to create digital workflows by digitising, evaluating and routing risks.

51 - 200 employees

💰 Series B on 2019-04

📋 Description

• 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.

🎯 Requirements

• Strong analytical and problem-solving skills, with the ability to address complex AI challenges. • Strong communication skills, with the ability to work effectively with cross-functional teams. • A passion for using AI to solve complex problems and a willingness to learn. • Experience in and strong knowledge of using AI/ML and more particularly LLMs e.g. • Prompt engineering techniques • Agentic systems • Multiple LLM models • Experience in using LLMs for document processing tasks would be beneficial • Proficiency in Python and specifically with mypy and asyncio

🏖️ Benefits

• Competitive salary • Remote first • Fun, vibrant and energetic environment with people that want to make a difference • Opportunity to learn and build new skills in an expanding business • Private health insurance • Choice of laptop • Flexi-working • Company trips