At a Glance
- Tasks: Build scalable infrastructure for AI products and enhance workflows.
- Company: Join Elliptic, a leader in AI technology with a focus on innovation.
- Benefits: Enjoy hybrid working, generous learning budgets, private health insurance, and extra vacation days.
- Other info: Be part of a dynamic team with opportunities for growth and learning.
- Why this job: Dive into the world of AI and make a real impact on cutting-edge projects.
- Qualifications: Experience in software engineering and LLM development is essential.
The predicted salary is between 60000 - 80000 € per year.
Elliptic is seeking an AI Platform Engineer to help build the foundational infrastructure of its AI products. You will work on developing core components of the AI platform, enhancing workflows, and ensuring systems are observable and reliable.
Ideal candidates are deeply curious about AI and bring experience in software engineering and LLM development.
The role offers hybrid working, generous learning budgets, and extensive benefits including private health insurance and additional vacation days.
Hybrid AI Platform Engineer — Build Scalable Infra in London employer: Elliptic
At Elliptic, we pride ourselves on being an excellent employer that fosters a culture of innovation and collaboration. Our hybrid working model allows for flexibility, while our generous learning budgets and extensive benefits, including private health insurance and additional vacation days, ensure that our employees are well-supported in their professional growth and personal well-being. Join us to be part of a forward-thinking team dedicated to building cutting-edge AI solutions in a dynamic and rewarding environment.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Platform Engineer — Build Scalable Infra in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and software engineering fields on LinkedIn or at meetups. 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 related to AI and LLM development. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI platforms. Practice coding challenges and be ready to discuss your past experiences in detail—this is where we can really shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Elliptic.
We think you need these skills to ace Hybrid AI Platform Engineer — Build Scalable Infra in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how curious you are about the field and what excites you about working with AI products.
Highlight Relevant Experience:Make sure to showcase your experience in software engineering and LLM development. We’re looking for candidates who can demonstrate their skills and how they relate to building scalable infrastructure.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Elliptic
✨Show Your Curiosity About AI
Make sure to express your genuine interest in AI during the interview. Prepare some insightful questions about the company's AI products and how they envision the future of AI technology. This will demonstrate your passion and curiosity, which are key traits for the role.
✨Highlight Your Software Engineering Experience
Be ready to discuss your previous software engineering projects in detail. Focus on specific challenges you faced and how you overcame them, especially in relation to building scalable infrastructure. Use examples that showcase your problem-solving skills and technical expertise.
✨Demonstrate Your Knowledge of LLM Development
Since the role involves LLM development, brush up on your knowledge of large language models. Be prepared to talk about any relevant experience you have, including frameworks you've used or projects you've worked on. This will show that you’re not just familiar with the concepts but have practical experience as well.
✨Prepare for Technical Questions
Expect technical questions related to AI platforms and infrastructure. Review common algorithms, system design principles, and best practices in observability and reliability. Practising coding problems or system design scenarios can help you feel more confident and ready to tackle these questions.
