At a Glance
- Tasks: Develop and optimise AI solutions for risk processing in commercial insurance.
- Company: Join a fast-growing InsurTech start-up revolutionising the insurance industry with data and machine learning.
- Benefits: Enjoy stock options, private health insurance, flexi-working, and a £2000 travel budget.
- Why this job: Be part of a mission-driven team transforming insurance workflows with cutting-edge AI technology.
- Qualifications: Strong problem-solving skills, experience with AI/ML, and proficiency in Python required.
- Other info: Remote-first role; work from anywhere in the UK or EU.
The predicted salary is between 43200 - 72000 £ per year.
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.
The Role
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.
What you will be doing
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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.
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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.
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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.
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Production & Monitoring:
- Monitor the performance of deployed LLM tasks in production, proactively identify and address issues, and ensure high reliability and accuracy.
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
Location
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.
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
Equal Opportunities
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.
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AI Engineer employer: Cytora Limited
Contact Detail:
Cytora Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models (LLMs) and their applications in risk assessment. This knowledge will not only help you understand the role better but also allow you to engage meaningfully with domain experts during discussions.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of complex AI challenges you've tackled in the past. Be ready to discuss how you approached these problems and the impact of your solutions, as this will resonate well with the team at Cytora.
✨Tip Number 3
Highlight your collaboration experience by discussing projects where you worked closely with cross-functional teams. Emphasising your communication skills and ability to define clear interfaces for LLM tasks will demonstrate your fit for the role.
✨Tip Number 4
Stay updated on prompt engineering techniques and Agentic AI systems. Being knowledgeable about these topics will not only enhance your application but also show your enthusiasm for using AI to solve complex problems in the insurance industry.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the AI Engineer position. Familiarise yourself with LLMs, their applications in risk processing, and how they can transform the insurance industry.
Tailor Your CV: Customise your CV to highlight relevant experience in AI/ML, particularly with LLMs. Emphasise any projects or roles where you've used Python, prompt engineering techniques, or worked on document processing tasks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and problem-solving. Mention specific examples of how you've collaborated with cross-functional teams and solved complex challenges in previous roles.
Showcase Continuous Learning: In your application, mention any recent courses, certifications, or self-study related to LLM technology and AI advancements. This demonstrates your enthusiasm for staying updated in a rapidly evolving field.
How to prepare for a job interview at Cytora Limited
✨Understand the Role of LLMs
Make sure you have a solid grasp of how Large Language Models work and their applications in risk processing. Be prepared to discuss specific examples of how you've used LLMs in past projects or how you would approach tasks like information extraction or document summarisation.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical thinking and problem-solving abilities. Think of complex AI challenges you've faced and how you tackled them, especially in collaborative settings with cross-functional teams.
✨Stay Updated on AI Trends
Familiarise yourself with the latest advancements in AI and LLM technology. Be ready to discuss recent models, techniques, or tools that could enhance the company's capabilities, showing your enthusiasm for continuous learning.
✨Communicate Effectively
Since collaboration is key in this role, practice articulating your thoughts clearly and concisely. Prepare to explain technical concepts in a way that non-technical team members can understand, highlighting your strong communication skills.