At a Glance
- Tasks: Design data architectures to enhance LLM retrieval, citation, and summarisation.
- Company: Leading AI consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong technical SEO background and knowledge of entity recognition systems.
- Other info: Dynamic work environment with potential for significant impact.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI consultancy in the UK is looking for an LLM Strategist who will be responsible for designing structured data architectures that enhance how large language models retrieve, cite, and summarize information.
The role requires a strong foundation in technical SEO, knowledge of entity recognition systems, and the ability to optimize retrieval strategies. Success in this position will improve citation rates and ensure correct brand representation across AI platforms like ChatGPT and Google AI.
LLM Retrieval & Citation Architect in Norwich employer: Neural Command, LLC
Contact Detail:
Neural Command, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Retrieval & Citation Architect in Norwich
✨Tip Number 1
Network like a pro! Reach out to folks in the AI consultancy space, especially those who work with LLMs. A friendly chat can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in structured data architectures and technical SEO. This will not only impress potential employers but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on entity recognition systems and retrieval strategies. We recommend practising common interview questions related to these topics so you can confidently showcase your knowledge and problem-solving skills.
✨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 LLM Retrieval & Citation Architect in Norwich
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical SEO knowledge and experience with entity recognition systems in your application. We want to see how you can optimise retrieval strategies, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the LLM Retrieval & Citation Architect role. Use keywords from the job description to show us you’re a perfect fit for the position.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your ideas flow well and are easy to understand.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Neural Command, LLC
✨Know Your Tech Inside Out
Make sure you brush up on your technical SEO knowledge and entity recognition systems. Be ready to discuss how these concepts apply to LLMs and retrieval strategies. The more confident you are in your technical skills, the better you'll impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges in data architecture or retrieval optimisation in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and ability to improve citation rates effectively.
✨Understand the Company’s Vision
Research the consultancy's projects and their approach to AI. Knowing their goals and how they represent brands across platforms like ChatGPT and Google AI will help you align your answers with their mission. It shows you're genuinely interested and can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the company's future in AI. Inquire about their current challenges with LLMs or how they measure success in citation rates. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.