At a Glance
- Tasks: Own the lifecycle of AI applications and enhance user experience for millions.
- Company: Join Linktree, a leading tech company revolutionising user engagement.
- Benefits: Flexible remote work options, competitive salary, and career growth opportunities.
- Other info: Dynamic team environment focused on innovation and collaboration.
- Why this job: Make a real impact on AI technology that personalises experiences for users worldwide.
- Qualifications: 6+ years in engineering with expertise in AI techniques and cloud infrastructure.
The predicted salary is between 70000 - 90000 € per year.
Linktree Pty Ltd is looking for a Staff AI Engineer in Greater London. The successful candidate will own the lifecycle of AI applications, build, deploy and maintain features that drive personalization and analytics for over 70 million users.
Ideal candidates will have over 6 years of engineering experience and strong familiarity with modern AI techniques including prompt engineering and cloud infrastructure.
A flexible work setup is offered, fully remote or hybrid options available.
Staff AI Engineer — Production AI & Data Pipelines (Remote) employer: Linktree Pty Ltd
Linktree Pty Ltd is an exceptional employer that champions innovation and flexibility, offering a dynamic work culture where creativity thrives. With opportunities for professional growth and the chance to impact over 70 million users, employees enjoy a supportive environment that values their contributions and encourages continuous learning. The remote and hybrid work options further enhance work-life balance, making Linktree a truly attractive place for talented individuals seeking meaningful and rewarding careers in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Staff AI Engineer — Production AI & Data Pipelines (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving prompt engineering and cloud infrastructure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and scenarios. Practice explaining your thought process and how you've tackled challenges in past projects—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for 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 Staff AI Engineer — Production AI & Data Pipelines (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience that match the Staff AI Engineer role. Highlight your engineering experience and familiarity with AI techniques, as this will show us you’re a great fit for the job.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about AI and how your background aligns with our mission. This is your chance to showcase your personality and enthusiasm, so don’t hold back!
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them in your application. We love seeing real-world examples of your work, especially if they involve personalization or analytics.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us during the process.
How to prepare for a job interview at Linktree Pty Ltd
✨Know Your AI Stuff
Make sure you brush up on modern AI techniques, especially prompt engineering and cloud infrastructure. Be ready to discuss your past projects and how you've applied these techniques in real-world scenarios.
✨Showcase Your Engineering Experience
With over 6 years of engineering experience required, highlight specific projects where you've owned the lifecycle of AI applications. Use examples that demonstrate your ability to build, deploy, and maintain features effectively.
✨Understand Their User Base
Linktree has over 70 million users, so it’s crucial to understand their needs. Research how AI can enhance user experience and be prepared to share your ideas on personalisation and analytics during the interview.
✨Ask Smart Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and their vision for AI at Linktree. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
