At a Glance
- Tasks: Lead the design and management of scalable cloud infrastructure for AI projects.
- Company: Exciting AI SaaS startup in London with a collaborative culture.
- Benefits: High autonomy, competitive salary, and a vibrant work environment.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: Strong AWS management, Python skills, and a passion for AI.
- Other info: Prime London location with opportunities for personal and professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A well-funded AI SaaS startup in London is seeking an AI Infrastructure Engineer to lead the design and management of scalable cloud infrastructure. This role involves pioneering prompt engineering strategies and integrating frameworks like LangChain and LangFuse.
The ideal candidate will have:
- Strong AWS management experience
- Proficiency in Python
- A passion for AI and cloud technologies
This position offers a collaborative work culture with high autonomy in a prime London location.
AI Infra Engineer: Cloud, LLMs & Prompt Design in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Engineer: Cloud, LLMs & Prompt Design in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud space on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving prompt engineering or AWS management. We love seeing practical examples of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud infrastructure and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who fit our culture.
We think you need these skills to ace AI Infra Engineer: Cloud, LLMs & Prompt Design in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and cloud technologies. Share any personal projects or experiences that highlight your interest in these areas, as it’ll help us understand your motivation.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your AWS management experience and Python proficiency align with what we’re looking for.
Highlight Relevant Projects: If you’ve worked on projects involving prompt engineering or frameworks like LangChain and LangFuse, don’t hold back! Detail these experiences in your application to show us your hands-on knowledge and 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 this exciting opportunity in our collaborative work culture.
How to prepare for a job interview at Jack & Jill
✨Know Your Cloud Stuff
Make sure you brush up on your AWS management skills. Be ready to discuss specific projects where you've designed or managed cloud infrastructure. Highlight any challenges you faced and how you overcame them.
✨Show Off Your Python Skills
Prepare to talk about your experience with Python, especially in relation to AI and cloud technologies. Have examples ready that showcase your coding abilities, particularly any scripts or tools you've developed for prompt engineering.
✨Get Familiar with Prompt Engineering
Since this role involves pioneering prompt engineering strategies, do some research on LangChain and LangFuse. Be prepared to discuss how you would approach designing prompts and integrating these frameworks into existing systems.
✨Emphasise Collaboration and Autonomy
This position values a collaborative work culture with high autonomy. Think of examples from your past experiences where you successfully worked in a team while also taking initiative on your own projects. Show that you can thrive in both settings!