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- Tasks: Build and maintain advanced AI applications using cutting-edge technologies.
- Company: Leading firm in AI technology based in London with a focus on innovation.
- Benefits: Salary up to £90k, remote work options, and flexible hours.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in Computer Science, strong Python skills, and experience with AI frameworks.
The predicted salary is between 90000 - 90000 £ per year.
Client Server is looking for an Agentic AI Engineer in London to work on advanced AI technology at a leading firm. This role involves building and maintaining cutting-edge LLM applications while supporting RAG features and collaborating closely with cross-functional teams.
The ideal candidate will have:
- A degree in Computer Science
- Strong Python skills
- Experience with AI frameworks like LangChain and LangGraph
The position offers a salary up to £90k with remote work options and flexible hours.
Remote Agentic AI Engineer – LangChain & LLM in London employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Agentic AI Engineer – LangChain & LLM in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those working with LangChain 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 Python and AI frameworks. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and coding challenges. We want you to feel confident and ready to tackle any question that comes your way!
✨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 Remote Agentic AI Engineer – LangChain & LLM in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and AI frameworks like LangChain. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how you can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects: If you've worked on any LLM applications or RAG features, make sure to mention them. We’re keen to see your hands-on experience, so include links or descriptions of your work that demonstrate your expertise.
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 don’t miss out on any updates from our team!
How to prepare for a job interview at Client Server
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with AI frameworks like LangChain and LangGraph. Be ready to discuss specific projects you've worked on, as this will show your hands-on experience and understanding of the technology.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach building and maintaining LLM applications, and be ready to explain your thought process clearly. This will demonstrate your analytical skills and ability to work under pressure.
✨Collaborate Like a Pro
Since the role involves working closely with cross-functional teams, be prepared to discuss your experience in collaboration. Share examples of how you've successfully worked with others in past projects, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects involving RAG features or how they envision the future of AI technology at their firm. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.