At a Glance
- Tasks: Build scalable LLM applications and develop innovative solutions.
- Company: Join a forward-thinking tech company at the forefront of AI.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Dynamic workplace with a focus on collaboration and creativity.
- Why this job: Be part of a team shaping the future of AI technology.
- Qualifications: Strong Python skills, frontend experience with React, and LLM knowledge.
The predicted salary is between 60000 - 80000 £ per year.
Required Skills
- Strong experience with Python (backend development)
- Solid frontend skills in React + TypeScript
- Hands‑on experience with LLMs (OpenAI, open‑source models, etc.)
- Proven work with RAG architectures (LangChain, LlamaIndex, vector DBs like Pinecone, Weaviate, etc.)
- Experience building end‑to‑end full stack applications
- Familiarity with cloud platforms (AWS / Azure / GCP)
- Understanding of API design, microservices, and system scalability
AI Full-Stack Engineer: Build Scalable LLM Apps employer: GCS Recruitment
Join a forward-thinking company that values innovation and creativity, where as an AI Full-Stack Engineer, you will have the opportunity to work on cutting-edge LLM applications in a collaborative and dynamic environment. Our commitment to employee growth is reflected in our continuous learning initiatives and mentorship programmes, ensuring you can advance your skills while contributing to impactful projects. Located in a vibrant tech hub, we offer a flexible work culture that promotes work-life balance and fosters a sense of community among our talented team members.
StudySmarter Expert Advice🤫
We think this is how you could land AI Full-Stack Engineer: Build Scalable LLM Apps
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other AI enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, React, and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of API design and microservices. Practice coding challenges that focus on backend and frontend skills, so you're ready to impress when it counts.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI Full-Stack Engineer: Build Scalable LLM Apps
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your strong experience with Python and your frontend skills in React and TypeScript. We want to see how your expertise aligns with the role, so don’t hold back!
Talk About Your Projects:Share examples of your hands-on experience with LLMs and RAG architectures. We love seeing real-world applications, so if you've built any end-to-end full stack applications, let us know!
Cloud Knowledge is Key:If you’ve worked with cloud platforms like AWS, Azure, or GCP, make sure to mention it! Understanding API design and microservices is also a big plus, so weave that into your application.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at GCS Recruitment
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python, React, and TypeScript. Brush up on your experience with LLMs and RAG architectures, as these will likely come up in conversation. Be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Full-Stack Experience
Prepare to talk about your end-to-end application development experience. Have examples ready that highlight your ability to integrate backend and frontend technologies seamlessly. This will demonstrate your versatility as a full-stack engineer.
✨Familiarise Yourself with Cloud Platforms
Since familiarity with AWS, Azure, or GCP is essential, make sure you can discuss how you've used these platforms in your previous roles. Highlight any specific services you’ve leveraged for scalability and deployment.
✨Understand API Design and Microservices
Be prepared to explain your understanding of API design principles and microservices architecture. Discuss how these concepts contribute to system scalability, and share any relevant experiences where you implemented them in your projects.
