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- Tasks: Lead AI innovation in insurance, focusing on risk modeling and customer engagement.
- Company: Dynamic company at the forefront of AI technology in the insurance sector.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by developing cutting-edge AI solutions that enhance customer trust.
- Qualifications: Experience in AI development and collaboration with data scientists.
- Other info: Join a vibrant team dedicated to pushing the boundaries of AI technology.
The predicted salary is between 36000 - 60000 £ per year.
The AI Engineer will spearhead AI-driven innovation across insurance, annuities, and retirement solutions, focusing on risk modeling, claims automation, fraud detection, customer engagement, and personalized retirement planning. This role ensures the development and deployment of AI solutions that improve operational efficiency, regulatory compliance, and customer trust while leveraging advanced analytics and automation.
Your Responsibilities:
- Design, develop, and optimize RAG-based solutions integrating retrieval systems with large language models.
- Build and maintain applications using LangChain to orchestrate complex AI workflows.
- Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast similarity search and retrieval.
- Develop embedding pipelines for unstructured data using models like Sentence Transformers, OpenAI, or Hugging Face.
- Collaborate with data scientists and software engineers to create scalable AI-powered applications.
- Fine-tune and evaluate large language models for specific use cases and domain adaptation.
AI Engineers in Redhill employer: Stackstudio Digital .
Contact Detail:
Stackstudio Digital . Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineers in Redhill
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field, especially those working in insurance and retirement solutions. Use platforms like LinkedIn to connect and engage with them; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI, especially those involving RAG-based solutions or vector databases. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of large language models and embedding pipelines. Be ready to discuss how you've tackled similar challenges in the past, as this will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace AI Engineers in Redhill
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI-driven projects, especially in areas like risk modelling and claims automation. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our mission at StudySmarter. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's building applications with LangChain or optimising large language models, we love seeing real examples of your work.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Stackstudio Digital .
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around risk modelling and claims automation. Be ready to discuss specific projects or technologies you've worked with, like LangChain or vector databases, as this will show your expertise and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems in previous roles. Think about times when you optimised workflows or improved operational efficiency using AI solutions. This will demonstrate your ability to think critically and innovate.
✨Collaborate Like a Pro
Since collaboration is key in this role, be ready to talk about your experience working with data scientists and software engineers. Highlight any successful projects where teamwork led to great results, as this will show you're a team player who can contribute to their collaborative environment.
✨Ask Smart Questions
Prepare insightful questions about the company's AI initiatives and future projects. This not only shows your interest but also gives you a chance to gauge if the company aligns with your career goals. Think about asking how they measure success in their AI-driven innovations.
