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- Tasks: Develop enterprise-grade systems using TypeScript and Python, focusing on AI tools.
- Company: Join a dynamic tech company with a focus on innovation and collaboration.
- Benefits: Earn up to £100k, enjoy stock options, and 25 days of holiday.
- Other info: Collaborate with a fast-paced team and meet in person every two months.
- Why this job: Make an impact in AI development while enjoying remote work flexibility.
- Qualifications: Experience in full stack development and a passion for AI technologies.
The predicted salary is between 100000 - 100000 £ per year.
Client Server is looking for a Full Stack Engineer / Developer to join their team in London with remote work options. You will develop enterprise-grade systems, focusing on TypeScript and Python, while implementing AI tools and LLMs.
The company offers a salary up to £100k, stock options, and 25 days of holiday, providing an impactful role with excellent career growth opportunities.
You’ll collaborate with a fast-paced, innovative team and participate in remote work while meeting in person every two months.
Senior Full Stack Engineer – LLM AI, TypeScript, Remote employer: Client Server
Contact Detail:
Client Server Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Full Stack Engineer – LLM AI, TypeScript, Remote
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Client Server. A friendly chat can sometimes lead to a referral, which is a golden ticket in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving TypeScript and AI tools. This gives you a chance to demonstrate your expertise and passion for the role.
✨Tip Number 3
Prepare for the tech interview! Brush up on your coding skills and be ready to discuss your experience with LLMs and enterprise-grade systems. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Full Stack Engineer – LLM AI, TypeScript, Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with TypeScript and Python, as these are key for the role. We want to see how your skills align with what we're looking for, 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 excited about working with AI tools and LLMs. We love seeing passion and enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Projects: If you've worked on any enterprise-grade systems or innovative projects, make sure to mention them. We’re keen to see how you’ve tackled challenges in the past and what you can bring to our team!
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 Stack
Make sure you’re well-versed in TypeScript and Python, as these are key to the role. Brush up on your knowledge of AI tools and LLMs, and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you approach problem-solving and be ready to share specific examples where you’ve successfully navigated complex issues in your previous roles.
✨Understand the Company Culture
Research Client Server and their work environment. Since they value innovation and collaboration, think about how your personal values align with theirs and be prepared to discuss how you can contribute to their team dynamics.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current projects involving AI and LLMs, or ask how they envision the future of their tech stack evolving. This demonstrates your enthusiasm and engagement.