As an AI Engineer (LLM), you will play a critical role in developing our core Large Language Model (LLM) service.
Our LLM service underpins our Generative AI powered risk digitization platform, providing a unified interface for internal services to leverage the power of LLMs at scale, regardless of the underlying foundational model.
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You will be responsible for building, deploying, and optimizing LLM-powered solutions that directly impact our customer's ability to understand and process risk in commercial insurance.
What you will be doing
- Problem Solving & Collaboration:
- 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.
- Development & Deployment:
- 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.
- Evaluation & Optimization:
- 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.
- Production & Monitoring:
- Monitor the performance of deployed LLM tasks in production, proactively identify and address issues, and ensure high reliability and accuracy.
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A successful candidate will likely have:
- Problem-Solving: Strong analytical and problem-solving skills, with the ability to address complex AI challenges.
- Collaboration: Strong communication skills, with the ability to work effectively with cross-functional teams.
- Enthusiasm: 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