AI Engineer

Cytora Ltd; United Kingdom; Remote; GBP 50,000 - 90,000; Full time

Job description

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.