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For Companies At a Glance
- Tasks: Build and optimise AI-driven applications using the latest tech stack.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy flexible working hours, competitive pay, and opportunities for growth.
- Why this job: Be part of a team that shapes the future of AI technology.
- Qualifications: Experience in full stack development and familiarity with AI and data engineering.
- Other info: Collaborative environment with a focus on continuous learning and development.
The predicted salary is between 60000 - 80000 £ per year.
Mandatory Skills:
- Full Stack with AI and Data Engineering
- Google Cloud Platform, including specifically:
- Vertex AI (Agent Engine)
- BigQuery
- Google Kubernetes Engine
ECP Agentic AI in Bradford employer: KBC Technologies Group
Contact Detail:
KBC Technologies Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ECP Agentic AI in Bradford
✨Tip Number 1
Get your hands dirty with projects! Build a portfolio showcasing your skills in Full Stack development and AI. Use platforms like GitHub to share your code and demonstrate your expertise in Python, Java, and ReactJS.
✨Tip Number 2
Network like a pro! Connect with professionals in the Google Cloud Platform community. Attend meetups or webinars focused on Vertex AI and BigQuery to learn from others and make valuable connections.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills by solving problems on platforms like LeetCode or HackerRank. Focus on challenges related to Terraform and Kubernetes to get comfortable with Infrastructure as Code.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talent like yours. Tailor your application to highlight your experience with the Google Agent Development Kit and Quarkus to stand out from the crowd.
We think you need these skills to ace ECP Agentic AI in Bradford
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full stack experience, especially with AI and data engineering. We want to see your expertise in Google Cloud Platform, so don’t hold back on mentioning Vertex AI, BigQuery, and Kubernetes!
Tailor Your Application: Customise your CV and cover letter to match the job description. Use keywords from the listing, like Terraform and Python/Java/ReactJS, to show us you’re the perfect fit for the ECP Agentic AI role.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see your qualifications and experiences at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at KBC Technologies Group
✨Know Your Tech Stack
Make sure you’re well-versed in the mandatory skills listed in the job description. Brush up on your knowledge of Google Cloud Platform, especially Vertex AI and BigQuery. Being able to discuss how you've used these technologies in past projects will show that you're not just familiar with them, but that you can apply them effectively.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities in Python, Java, and ReactJS. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with frameworks like Quarkus and the Google Agent Development Kit, as being able to talk about your experience with these will set you apart.
✨Understand Infrastructure as Code
Since Terraform is a key part of the role, make sure you can explain how you've implemented infrastructure as code in previous projects. Be ready to discuss the benefits of using Terraform and any challenges you faced while working with it. This shows that you have practical experience and understand its importance in modern development.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about the company’s use of AI and data engineering. Ask about their current projects or how they envision the future of their tech stack. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.