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- Tasks: Lead the design of scalable cloud infrastructure and innovate prompt engineering strategies.
- Company: Exciting AI SaaS startup in London with a collaborative culture.
- Benefits: High autonomy, competitive salary, and the chance to shape architectural direction.
- Why this job: Join a cutting-edge startup and make a real impact in AI technology.
- Qualifications: Experience with AWS services and proficiency in Python required.
- Other info: Great opportunity for career growth in a dynamic environment.
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. The candidate will innovate prompt engineering strategies and integrate frameworks to enhance LLM performance. This role offers a collaborative culture with high autonomy and the opportunity to influence the startup's architectural direction.
Ideal candidates will have proven AWS services management experience and technical proficiency in Python.
AI Infra Architect: Scalable Cloud & LLM Orchestration employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Infra Architect: Scalable Cloud & LLM Orchestration
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud infrastructure 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 AWS and Python. We love seeing real-world applications of your expertise, so make sure it’s easy for potential employers to find.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practicing common interview questions related to scalable cloud architecture and LLM orchestration to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who want to shape the future of AI infrastructure.
We think you need these skills to ace AI Infra Architect: Scalable Cloud & LLM Orchestration
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AWS services and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our needs and can demonstrate how they fit into our vision for scalable cloud infrastructure.
Be Authentic: Let your personality shine through in your written application. We’re looking for someone who can bring their unique perspective to our collaborative culture, so don’t be afraid to be yourself!
Apply Through Our Website: For the best chance of getting noticed, make sure you apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Cloud Inside Out
Make sure you brush up on your AWS services knowledge. Be ready to discuss specific services you've managed and how they relate to scalable cloud infrastructure. We recommend preparing examples of past projects where you successfully implemented AWS solutions.
✨Show Off Your Python Skills
Since technical proficiency in Python is key, be prepared to demonstrate your coding skills. We suggest practising common algorithms or frameworks that are relevant to AI infrastructure. You might even want to bring a small project or code snippet to discuss during the interview.
✨Innovate with Prompt Engineering
This role involves innovating prompt engineering strategies, so think about how you can enhance LLM performance. We encourage you to come up with a few creative ideas or case studies to share. This will show your potential employer that you're not just technically skilled but also a forward-thinker.
✨Embrace Collaboration
The startup values a collaborative culture, so be ready to talk about your experiences working in teams. We suggest highlighting instances where you influenced architectural decisions or worked autonomously while still contributing to group goals. This will demonstrate that you can thrive in their environment.
