Insurance AI Engineer — LLM, RAG & Agentic Systems in London
Insurance AI Engineer — LLM, RAG & Agentic Systems

Insurance AI Engineer — LLM, RAG & Agentic Systems in London

London Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI transformation initiatives and build production-grade solutions for the insurance sector.
  • Company: Dynamic consulting firm in technology, focused on innovation in the insurance industry.
  • Benefits: Remote work flexibility, competitive salary, and opportunities for professional growth.
  • Why this job: Make a real impact in the insurance sector using cutting-edge AI technologies.
  • Qualifications: Expertise in software and AI engineering, especially with LLMs; insurance experience preferred.
  • Other info: Engaging role with occasional travel to client offices and London HQ.

The predicted salary is between 48000 - 72000 £ per year.

A consulting firm in technology, located in the UK, is seeking a Consulting Engineer specializing in AI for the insurance sector. This senior, hands-on role involves leading AI transformation initiatives, building production-grade solutions, and working directly with senior insurance stakeholders.

The ideal candidate will possess significant expertise in software and AI engineering, particularly with LLMs, and experience in the insurance domain is strongly preferred.

This position allows for remote work with occasional travel to client offices and London HQ.

Insurance AI Engineer — LLM, RAG & Agentic Systems in London employer: Good Chemical Science&Technology Co.Ltd.

Join a forward-thinking consulting firm that champions innovation in technology and AI, particularly within the insurance sector. With a strong emphasis on employee growth, we offer a collaborative work culture that values creativity and initiative, alongside flexible remote working options and opportunities for travel to our London HQ. Our commitment to professional development ensures that you will thrive in your role as an Insurance AI Engineer, making a meaningful impact on transformative projects.
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Contact Detail:

Good Chemical Science&Technology Co.Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Insurance AI Engineer — LLM, RAG & Agentic Systems in London

Tip Number 1

Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. We can’t stress enough how important it is to connect with industry insiders who might know about unadvertised roles or can give you a heads-up on upcoming opportunities.

Tip Number 2

Showcase your skills! Create a portfolio that highlights your projects related to LLMs and AI solutions. We want to see your hands-on experience, so make sure to include any relevant case studies or examples of your work that demonstrate your expertise.

Tip Number 3

Prepare for interviews by brushing up on your knowledge of AI transformation initiatives in the insurance sector. We recommend researching recent trends and challenges in the industry, so you can impress those senior stakeholders with your insights during the conversation.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you that dream role!

We think you need these skills to ace Insurance AI Engineer — LLM, RAG & Agentic Systems in London

AI Engineering
LLM (Large Language Models)
Software Development
Insurance Domain Knowledge
Stakeholder Management
Production-Grade Solutions
Consulting Skills
Technical Leadership
Remote Work Capability
Problem-Solving Skills
Communication Skills
Adaptability
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of Insurance AI Engineer. Highlight your experience with LLMs and any relevant projects in the insurance sector. We want to see how your skills align with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in the insurance industry and how your background makes you the perfect fit for our team. Let us know what excites you about this role!

Showcase Your Projects: If you've worked on any production-grade solutions or AI transformation initiatives, make sure to showcase them. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can’t wait to hear from you!

How to prepare for a job interview at Good Chemical Science&Technology Co.Ltd.

Know Your AI Stuff

Make sure you brush up on your knowledge of LLMs and agentic systems. Be ready to discuss specific projects you've worked on, especially those related to the insurance sector. This will show that you not only understand the technology but also how it applies in real-world scenarios.

Understand the Insurance Landscape

Familiarise yourself with current trends and challenges in the insurance industry. Being able to speak intelligently about how AI can transform insurance processes will impress your interviewers and demonstrate your commitment to the role.

Prepare for Technical Questions

Expect some technical questions that will test your engineering skills. Practice explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders. This will highlight your ability to bridge the gap between tech and business.

Showcase Your Leadership Skills

Since this is a senior role, be prepared to discuss your experience leading teams or projects. Share examples of how you've driven AI initiatives and collaborated with stakeholders. This will help convey your capability to lead AI transformation initiatives effectively.

Insurance AI Engineer — LLM, RAG & Agentic Systems in London
Good Chemical Science&Technology Co.Ltd.
Location: London

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