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- Tasks: Build conversational AI workflows and develop RAG systems using cutting-edge technology.
- Company: Fast-growing tech company enhancing AI capabilities in London.
- Benefits: Competitive salary, bonuses, and opportunities for professional growth.
- Other info: Exciting environment with potential for rapid career advancement.
- Why this job: Join a dynamic team and shape the future of conversational AI.
- Qualifications: Hands-on experience with LLMs, LangChain familiarity, and strong SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Oliver Bernard is seeking an AI Engineer in Greater London to work for a fast-growing tech company enhancing AI capabilities. The role involves building conversational AI workflows, implementing LLM tool use, and developing RAG systems.
Candidates should have hands-on experience with LLMs, familiarity with frameworks like LangChain, and strong SQL skills.
The position offers a competitive package plus bonuses.
AI Engineer: Conversational AI & RAG (London) employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer: Conversational AI & RAG (London)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with conversational AI and LLMs. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with LLMs and RAG systems. This is your chance to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and frameworks like LangChain. We want you to feel confident discussing your hands-on experience and how it relates to the role.
✨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 take that extra step.
We think you need these skills to ace AI Engineer: Conversational AI & RAG (London)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with LLMs and any frameworks like LangChain in your application. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your SQL skills and any relevant projects you've worked on that relate to conversational AI workflows. It helps us see you as a perfect fit!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Let your passion for AI shine through!
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 Oliver Bernard
✨Know Your LLMs
Make sure you brush up on your knowledge of large language models (LLMs) before the interview. Be ready to discuss your hands-on experience with them, as well as any specific projects you've worked on that involved LLMs. This will show your potential employer that you're not just familiar with the theory but have practical skills to back it up.
✨Familiarise Yourself with LangChain
Since the job mentions frameworks like LangChain, take some time to understand its functionalities and how it can be applied in conversational AI workflows. You might even want to prepare a few examples of how you've used it or similar frameworks in past projects to demonstrate your expertise.
✨SQL Skills are Key
Strong SQL skills are a must for this role, so be prepared to showcase your ability to work with databases. Brush up on common SQL queries and be ready to discuss how you've used SQL in previous roles, especially in relation to data handling for AI systems.
✨Prepare Questions About RAG Systems
Research Retrieval-Augmented Generation (RAG) systems and come prepared with insightful questions about how the company implements them. This shows your genuine interest in the role and helps you gauge if the company's approach aligns with your own understanding and experience.