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- Tasks: Lead AI initiatives in the insurance sector and design innovative solutions.
- Company: Dynamic technology consulting firm with a focus on cutting-edge AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance industry using advanced AI technologies.
- Qualifications: Experience with LLMs, strong Python skills, and client-facing abilities.
- Other info: Occasional travel to client offices and London HQ required.
The predicted salary is between 48000 - 72000 £ per year.
A technology consulting firm in the UK is seeking an experienced LLM, RAG & Agentic AI Engineer for the insurance sector. The role involves leading the design and delivery of AI initiatives, ensuring the solutions are compliant and reliable.
Ideal candidates will have:
- Hands-on experience with LLMs
- Strong Python skills
- A background in the insurance domain
- Strong client-facing abilities
- Experience with multi-agent systems
Occasional travel to client offices and London HQ may be required.
Senior AI Engineer - Insurance, Agentic Systems & LLMs in City of London employer: Staffworx
Contact Detail:
Staffworx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer - Insurance, Agentic Systems & LLMs in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your projects with LLMs and multi-agent systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Practice your pitch! Be ready to explain complex AI concepts in simple terms, especially when talking to clients. This will highlight your client-facing abilities and technical expertise.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your experience and skills directly to us. Don’t miss out on the chance to land that Senior AI Engineer role!
We think you need these skills to ace Senior AI Engineer - Insurance, Agentic Systems & LLMs in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLMs and Python, especially in the insurance sector. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in insurance and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Client-Facing Skills: Since this role involves client interaction, make sure to highlight any experience you have in this area. We love candidates who can communicate complex ideas clearly and build strong relationships!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Staffworx
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of Large Language Models (LLMs) and their applications in the insurance sector. Be ready to discuss specific projects you've worked on, showcasing your hands-on experience and how it relates to the role.
✨Showcase Your Python Skills
Prepare to demonstrate your Python expertise during the interview. You might be asked to solve a coding problem or discuss how you've used Python in previous AI projects, so have examples ready that highlight your technical prowess.
✨Understand the Insurance Landscape
Familiarise yourself with current trends and challenges in the insurance industry. Being able to speak knowledgeably about how AI can address these issues will show your potential employer that you’re not just technically skilled but also understand the business context.
✨Client-Facing Experience is Key
Since the role requires strong client-facing abilities, prepare to share examples of how you've successfully communicated complex AI concepts to non-technical stakeholders. Highlight any experience you have in managing client relationships or leading projects that involved direct client interaction.
