At a Glance
- Tasks: Join us as an AI Engineer to develop cutting-edge LLM solutions for the insurance industry.
- Company: Cytora is a fast-growing InsurTech start-up revolutionising risk evaluation with data and machine learning.
- Benefits: Enjoy stock options, private health insurance, flexi-working, and a £2000 travel budget.
- Other info: Remote-first company; work from anywhere in the UK or EU with no visa sponsorship needed.
- Why this job: Be part of a mission-driven team transforming insurance with innovative AI technology.
- Qualifications: Strong problem-solving skills, experience with AI/ML, and proficiency in Python are essential.
The predicted salary is between 43200 - 72000 £ per year.
We are a high-growth Series-B InsurTech start-up using data and machine learning to revolutionize the insurance industry. You will be joining a strong and mission driven team, working to build a customer facing product that fundamentally changes the way insurers evaluate risk, enabling them to move from highly manual workflows to digital risk flows.
Cytora\’s Risk Stream is a serverless and cloud native SaaS platform that automates the digitisation, evaluation and decisioning of risks for commercial insurers. Our product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively.
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
- 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.
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
Benefits
- Stock options
- Enhanced parental leave
- Private health insurance – UK only*
- Choice of laptop
- Flexi-working
- £2000 travel budget
- Company trips
*We employ people across the UK and Europe (In Ireland, Spain & Austria we use a 3rd party Employer of Record model), and inevitably the benefits that we can offer vary slightly in different territories, due to local employment law and feasibility. Our salary range does not vary depending on territory.
Location
Cytora are a remote-first company. For this role you can be based anywhere in the UK or EU provided you 1. have fluent spoken and written English, and 2. have the permanent right to work without requiring visa sponsorship.
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, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr
AI Engineer employer: Cytora Ltd
Contact Detail:
Cytora Ltd 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 the insurance industry. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨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 aligns closely with the responsibilities of the AI Engineer role.
✨Tip Number 3
Network with professionals in the InsurTech space, especially those working with AI and LLMs. Engaging with industry experts can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 4
Prepare to discuss your experience with Python, particularly with mypy and asyncio. Being able to articulate your technical skills and how they relate to the development and deployment of LLM tasks will set you apart from other candidates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the AI Engineer position. Highlight your relevant experience with LLMs, problem-solving skills, and collaboration in your application.
Tailor Your CV: Customise your CV to reflect your experience with AI/ML, particularly focusing on LLMs and document processing tasks. Use specific examples that demonstrate your analytical skills and ability to work with cross-functional teams.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and how it can solve complex problems in the insurance industry. Mention any relevant projects or experiences that align with Cytora's mission and values.
Highlight Continuous Learning: Emphasise your commitment to staying updated with the latest advancements in LLM technology. Mention any courses, certifications, or personal projects that demonstrate your enthusiasm for learning and applying new techniques.
How to prepare for a job interview at Cytora Ltd
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples of how you've tackled complex AI challenges in the past. Highlight your analytical thinking and how you approached problem-solving, especially in relation to LLMs.
✨Demonstrate Collaboration Experience
Since the role involves working closely with cross-functional teams, share experiences where you've successfully collaborated with others. Emphasise your communication skills and how you’ve engaged with domain experts or product managers.
✨Stay Updated on LLM Advancements
Research the latest trends and advancements in LLM technology before the interview. Being knowledgeable about recent developments will show your enthusiasm for the field and your commitment to continuous learning.
✨Prepare for Technical Questions
Expect technical questions related to AI/ML and LLMs, including prompt engineering techniques and document processing tasks. Brush up on your Python skills, particularly with mypy and asyncio, as these are crucial for the role.