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A leading technology company is looking for an AI Engineer focused on developing Large Language Models (LLM) solutions. This remote position based in the UK involves engaging with domain experts, designing and deploying LLM tasks, and optimizing performance. Ideal candidates will have strong problem-solving skills, experience with AI/ML, and proficiency in Python. The role offers competitive salary and benefits including private health insurance and flexible working.
Cytora, now part of Applied Systems, combines cutting-edge innovation with global scale to transform commercial insurance.
Founded in 2012, Cytora enables insurers digitise risks, unlock the value of external data, and automate risk intake across SME, Mid Market, and Specialty lines whereas Applied Systems are a global leader in insurance technology since 1983, powering more than 18,000 agencies and 160,000+ users across North America and Europe with its cloud-based software solutions.
Together, Cytora and Applied Systems are accelerating digital transformation across the insurance industry—driving greater efficiency, data-driven insights, and connectivity between insurers and brokers worldwide.
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.
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.
Cytora are a remote-first company. For this role you can be based anywhere in the UK. provided you
1. have fluent spoken and written English, and
2. have the permanent right to work without requiring visa sponsorship.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, political affiliation, national origin, sex, sexual orientation, age, marital status, veteran status, or disability status.