At a Glance
- Tasks: Develop and optimise AI solutions for risk processing in commercial insurance.
- Company: Cytora is a fast-growing InsurTech start-up transforming the insurance industry with AI.
- Benefits: Enjoy stock options, flexible working, a ÂŁ2000 travel budget, and company trips.
- Why this job: Join a mission-driven team and make a real impact in the insurance sector with cutting-edge technology.
- Qualifications: Strong analytical skills, experience with AI/ML, and proficiency in Python are essential.
- Other info: Remote-first role; work from anywhere in the UK or EU.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Join to apply for the AI Engineer role at Cytora.
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. Applied Systems is a global leader in insurance technology since 1983, powering more than 18,000 agencies and 160,000+ users worldwide with cloud‑based solutions. Together they accelerate digital transformation in insurance, driving efficiency, data‑driven insights, and connectivity between insurers and brokers.
The Role
As an AI Engineer (LLM), you will play a critical role in developing our core Large Language Model service. Our LLM service underpins our Generative AI powered risk digitisation platform, providing a unified interface for internal services to leverage LLMs at scale, regardless of the underlying foundational model. You will build, deploy, and optimise LLM‑powered solutions that directly impact our customers’ 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 define key business problems within risk processing 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 summarisation, etc.) that are readily consumable by other Cytora services.
- Stay up‑to‑date with the latest advancements in LLM technology and 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 assess and iterate on the performance of LLM tasks.
- Analyse task performance, identify improvement areas, and implement strategies to optimise 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.
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, particularly LLMs, such as:
- Prompt engineering techniques
- Agentic systems
- Multiple LLM models
- Experience using LLMs for document processing tasks would be beneficial
- Proficiency in Python, specifically with mypy and asyncio.
Location
Cytora is a remote‑first company. For this role you can be based anywhere in the UK provided you meet the following requirements:
- Have fluent spoken and written English;
- Have permanent right to work in the UK without requiring visa sponsorship.
Benefits
- Competitive salary
- Remote first
- Fun, vibrant and energetic environment with people who 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
Contact Detail:
Cytora 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). Being well-versed in current technologies and trends will not only boost your confidence but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your problem-solving skills by preparing examples of how you've tackled complex AI challenges in the past. Be ready to discuss specific projects where you collaborated with cross-functional teams to achieve results.
✨Tip Number 3
Network with professionals in the InsurTech space, especially those working with AI and LLMs. Attend relevant meetups or webinars to gain insights and potentially make connections that could help you land the job.
✨Tip Number 4
Prepare to discuss your experience with Python, particularly with mypy and asyncio. Being able to demonstrate your technical proficiency will set you apart from other candidates and show that you're ready to hit the ground running.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI Engineer position at Cytora. Familiarise yourself with LLMs, AI/ML concepts, and the specific tasks mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your problem-solving abilities, collaboration skills, and any experience with LLMs or document processing tasks.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Discuss how your background in AI and machine learning can contribute to Cytora's mission of revolutionising the insurance industry.
Highlight Relevant Projects: If you have worked on projects involving LLMs or AI solutions, be sure to include them in your application. Describe your role, the technologies used, and the impact of your work to demonstrate your capabilities.
How to prepare for a job interview at Cytora
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex AI challenges. Highlight your analytical approach and how you collaborated with others to find solutions, as this role heavily relies on problem-solving in the context of risk processing.
✨Demonstrate Your Knowledge of LLMs
Familiarise yourself with the latest advancements in Large Language Models. Be ready to discuss your experience with prompt engineering techniques and any relevant projects you've worked on that involved LLMs, especially in document processing tasks.
✨Emphasise Collaboration and Communication
Since the role involves working closely with cross-functional teams, be prepared to share examples of how you've effectively communicated and collaborated in past projects. This will show your ability to engage with domain experts and product managers.
✨Stay Updated on AI Trends
Research current trends and tools in AI and machine learning, particularly those related to Agentic AI and LLMs. Showing that you're proactive about learning and adapting to new technologies will impress the interviewers at Cytora.