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- Tasks: Build and maintain advanced AI applications using cutting-edge technologies.
- Company: Leading firm in AI technology based in London.
- Benefits: Salary up to £90k, remote work options, and flexible hours.
- Other info: Collaborate with cross-functional teams on innovative projects.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Degree in Computer Science and strong Python skills required.
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 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
✨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
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 to see your personality come through.
Showcase Your Projects: If you've worked on any LLM applications or RAG features, make sure to mention them! We’re keen to see real examples of your work, so include links or descriptions of your projects 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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 practical experience and understanding of the technology.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight your communication skills and how you’ve contributed to team success in previous projects.
✨Understand RAG Features
Research Retrieval-Augmented Generation (RAG) features and be prepared to discuss how they can enhance LLM applications. Showing that you’re knowledgeable about current trends in AI will impress the interviewers and demonstrate your passion for the field.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI projects and future goals. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career aspirations.