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- Tasks: Create innovative AI solutions and build Agentic AI workflows.
- Company: Leading London insurance firm with a focus on cutting-edge technology.
- Benefits: Competitive contract, hands-on experience, and opportunity to work with AI.
- Why this job: Join a dynamic team and shape the future of insurance with AI.
- Qualifications: Experience in the insurance sector and knowledge of scalable AI solutions.
- Other info: Onsite presence in London once a month for collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading London insurance firm is seeking an AI Engineer skilled in Data Science to create innovative AI solutions. This role involves building Agentic AI workflows, designing RAG pipelines, and developing LLM-powered tools using Python and LangChain.
Candidates must have experience in the insurance sector and familiarity with scalable AI solutions. The contract is for 6 months and requires onsite presence in London once a month.
Insurance AI Engineer: LLMs, RAG & Pipelines employer: Opus Recruitment Solutions
Contact Detail:
Opus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Insurance AI Engineer: LLMs, RAG & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to insurance. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and insurance-related questions. We recommend practising with a friend or using mock interview platforms to boost your confidence.
✨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 are proactive about their job search.
We think you need these skills to ace Insurance AI Engineer: LLMs, RAG & Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python, LangChain, and any relevant AI projects you've worked on. We want to see how you can bring innovative solutions to the table!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect your experience in the insurance sector and how it relates to the role. We love seeing candidates who take the time to connect their background with our needs.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly address the job requirements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Opus Recruitment Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAG pipelines, and Python. Be ready to discuss how you've applied these technologies in previous roles, especially in the insurance sector. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in building scalable AI solutions. Think about times when you had to innovate or adapt your approach. This will demonstrate your ability to think critically and creatively, which is crucial for this role.
✨Understand the Insurance Landscape
Familiarise yourself with current trends and challenges in the insurance industry. Being able to discuss how AI can address these issues will set you apart from other candidates. It shows that you’re not just an AI engineer, but someone who understands the business context.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI strategy and future projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
