Artificial Intelligence Engineer, Cytora
Plus stock options
More information about location
Configurable platform enabling commercial insurers to create digital workflows
Open for applications
Configurable platform enabling commercial insurers to create digital workflows
101-200 employees
Open for applications
Plus stock options
More information about location
101-200 employees
Company mission
Cytora's mission is to transform insurance by helping insurers generate fairer premiums and enabling society at large to transfer risk in new and seamless ways.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
- 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
- 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
- Monitor the performance of deployed LLM tasks in production, proactively identify and address issues, and ensure high reliability and accuracy
Our take
Insurance is vital to the economy, giving businesses the confidence to realise their ambitions in the face of uncertainty, but the underlying systems that insurance is built on are broken. Cytora is creating new foundations for insurance by providing insurers with the building blocks they need to deliver efficient, accurate underwriting and seamless customer experiences.
Cytora's platform enables risk submissions to be digitised, consistently evaluated using internal and external data sources and automatically processed for underwriting decision making. This means that risks can be digitally processed, maximising automation levels and delivering enhanced control over risk selection.
In 2022, Cytora partnered with global specialist insurer Beazley, which was followed by a series of milestones for the company, including partnerships with Moody's RMS, Chubb, and Ecclesiastical. Since launching version 3.0 of its platform, Cytora has been eyeing the US for its next expansion strategy.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 3 rounds)
Apr 2019
$33.7m
SERIES B
Dec 2017
$6m
EARLY VC
Total funding: $42.7m
Company benefits
- Enhanced parental leave when having, adopting or fostering a child
- 33 days holiday (incl. bank holidays)
- Remote-first
- Work abroad budget - £2000 for every Cytorian each year, empowering and encouraging us to work beyond our regular spaces
- Share options
- Flexible hours
- £1500 L&D budget
- Home office budget
- Vitality private healthcare 🇬🇧
Company values
- What can you do in a day? We do rather than talk and take action rather than speculate. We will try things that fail and we learn faster by doing.
- Make success inevitable We have courage to take ownership, the grit to overcome obstacles and commitment to cross the finish line.
- Individuals don’t scale We strive to build something that is bigger than just one person, better than what we are each capable of, more impactful than we can imagine today.
- We put customers first Our highest priority is the success of our customers. We are genuine, committed and we strive for their success.
Company HQ
London, UK
Articles
Leadership
Richard Hartley
(Co-Founder & CEO)Leads business strategy. Previously product strategist at eBaoTech, a cloud technology vendor to the insurance industry.
Aeneas Wiener
(Co-Founder & CTO)Leads engineering and data science. Has a highly technical PhD from Imperial, giving him the skills required to price commercial risk.
People progressing
Dimitra joined Cytora as a Junior Software Engineer in February 2022 before earning promotion to Software Engineer
Sam joined as Business Agility Director in 2019 before progressing to VP Product in 2022
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