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For Companies At a Glance
- Tasks: Join us to build an innovative AI Development Platform and enhance enterprise AI capabilities.
- Company: Be part of a forward-thinking company leading the charge in AI technology.
- Benefits: Enjoy a hybrid work model, competitive day rate, and a dynamic team environment.
- Why this job: This role offers hands-on experience with cutting-edge technology and the chance to make a real impact.
- Qualifications: Strong experience in building software platforms, particularly on Kubernetes, is essential.
- Other info: This is a 6-month contract position, starting ASAP, with a focus on collaboration.
The predicted salary is between 43200 - 64800 £ per year.
This role is for a platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms on Kubernetes.
AI Development Platform Engineer employer: Harvey Nash
Contact Detail:
Harvey Nash Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Development Platform Engineer
✨Tip Number 1
Familiarise yourself with Kubernetes and AI development platforms. Join online forums or local meetups to connect with professionals in the field, as networking can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your hands-on experience by contributing to open-source projects related to AI or Kubernetes. This not only enhances your skills but also demonstrates your commitment and expertise to potential employers.
✨Tip Number 3
Stay updated on the latest trends and technologies in AI and platform engineering. Follow industry leaders on social media and subscribe to relevant newsletters to keep your knowledge fresh and relevant.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions specifically related to AI platforms. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills.
We think you need these skills to ace AI Development Platform Engineer
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the AI Development Platform Engineer position. Highlight your relevant experience in building software platforms, especially on Kubernetes.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the job. Emphasise your hands-on experience with AI technologies and platform engineering, ensuring to include specific projects or achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and platform engineering. Mention how your background makes you a perfect fit for the role and express your enthusiasm for contributing to the firm's AI Development Platform.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a technical role like this.
How to prepare for a job interview at Harvey Nash
✨Showcase Your Kubernetes Knowledge
Make sure to highlight your hands-on experience with Kubernetes during the interview. Be prepared to discuss specific projects where you've built or managed software platforms using Kubernetes, as this is a key requirement for the role.
✨Demonstrate AI Understanding
Since the role involves driving AI capabilities, it's essential to demonstrate your understanding of AI technologies and their applications. Prepare examples of how you've previously integrated AI into platforms or projects.
✨Discuss Collaboration Skills
This position requires working across various teams to drive adoption of AI. Be ready to share experiences where you've successfully collaborated with different stakeholders, showcasing your ability to communicate technical concepts to non-technical audiences.
✨Prepare for Technical Questions
Expect technical questions related to platform engineering and AI development. Brush up on relevant concepts and be ready to solve problems on the spot, as this will demonstrate your technical proficiency and problem-solving skills.
