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For Companies At a Glance
- Tasks: Lead AI innovation in insurance, focusing on risk modeling and customer engagement.
- Company: Join a forward-thinking company revolutionising the insurance industry with AI.
- Benefits: Enjoy a competitive salary, hybrid work model, 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, machine learning, and proficiency in Python or R required.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
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.
- Optimize retrieval and generation workflows for performance, accuracy, and cost-efficiency.
- Stay updated on the latest advancements in generative AI, retrieval techniques, and vector search technology.
- Collaborate with cross-functional teams to integrate AI models into products.
- Conduct research to improve existing AI systems and develop new approaches.
- Knowledge of NLP, computer vision, or reinforcement learning.
- Experience deploying AI models in production environments.
Your Profile Essential Skills / Knowledge / Experience
- Proven experience in AI, machine learning, or deep learning.
- Proficiency in programming languages such as Python, R, or Java.
- Experience with AI frameworks like TensorFlow, PyTorch, or Keras.
- Experience with large language models (GPT, BERT, etc.).
- Fine-tuning and prompt engineering.
- Experience with vector similarity search.
- Knowledge of popular vector DBs: Pinecone, Weaviate, FAISS, Vespa, Milvus.
- Generating and managing embeddings (using models like SentenceTransformers, OpenAI, Hugging Face).
- Familiarity with LangChain for building LLM-powered applications.
- Ability to create chains, prompts, and agents.
Desirable Skills / Knowledge / Experience
- Experience with data ingestion, indexing, and querying.
- Working with unstructured data (text, documents, images).
Locations
AI Engineers in Redhill, Surrey employer: Stackstudio Digital Ltd.
Contact Detail:
Stackstudio Digital Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineers in Redhill, Surrey
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving large language models or vector databases. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and be ready to discuss your experience with frameworks like TensorFlow or PyTorch. Practice explaining your projects clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for talented AI Engineers like you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineers in Redhill, Surrey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI, machine learning, and any relevant projects you've worked on. 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 and how you can contribute to our team. Be sure to mention specific technologies or frameworks you’ve worked with that relate to the job.
Showcase Your Projects: If you've got any personal or professional projects that demonstrate your skills in AI, machine learning, or programming, make sure to include them. We love seeing practical applications of your knowledge!
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!
How to prepare for a job interview at Stackstudio Digital Ltd.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI, machine learning, and deep learning. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of how you've used large language models in past projects.
✨Show Off Your Coding Skills
Since programming is key for this role, practice coding problems in Python, R, or Java. You might be asked to solve a problem on the spot, so being comfortable with your coding skills will help you shine.
✨Get Familiar with Vector Databases
Understand how vector databases like FAISS or Pinecone work, and be prepared to explain how you've implemented them in your previous roles. This shows that you can hit the ground running with the tech they use.
✨Stay Current with Trends
AI is always evolving, so make sure you're up-to-date with the latest advancements in generative AI and retrieval techniques. Mentioning recent developments during your interview can demonstrate your passion and commitment to the field.
