At a Glance
- Tasks: Implement AI solutions and create deployable AI agents for cutting-edge projects.
- Company: Global leader in automotive systems with a focus on innovation.
- Benefits: Remote work, competitive salary, and potential for permanent position.
- Other info: Flexible work environment with opportunities for career advancement.
- Why this job: Join a pioneering team and shape the future of AI in the automotive industry.
- Qualifications: Expertise in Java, Spring, AWS, and production-grade AI systems.
The predicted salary is between 70000 - 90000 £ per year.
A global automotive systems industry leader is seeking a Principal AI Software Engineer (Java) to work remotely on AI projects. This role requires deep expertise in Java, Spring, and AWS, with hands-on experience in production-grade AI systems.
Responsibilities include:
- Implementing AI solutions
- Creating deployable AI agents
The initial contract is for six months, with the possibility of becoming a permanent position. Occasional visits to the office may be required.
Principal AI Java Engineer Remote Cloud-Native employer: Ports North
Contact Detail:
Ports North Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Java Engineer Remote Cloud-Native
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and AI sectors. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Java and AI projects. This is your chance to demonstrate your hands-on experience with production-grade systems.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of Spring and AWS, and be ready to discuss how you’ve implemented AI solutions in the past. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can give you an edge in the hiring process.
We think you need these skills to ace Principal AI Java Engineer Remote Cloud-Native
Some tips for your application 🫡
Show Off Your Java Skills: Make sure to highlight your deep expertise in Java and any relevant frameworks like Spring. We want to see how your experience aligns with the role, so don’t hold back on showcasing your hands-on projects!
Talk About AI Experience: Since this role is all about AI, share your hands-on experience with production-grade AI systems. We’re keen to know how you’ve implemented AI solutions in the past, so give us the juicy details!
AWS Knowledge is Key: Don’t forget to mention your experience with AWS! It’s a big part of what we do, so let us know how you’ve used it in your previous roles to create cloud-native applications.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Ports North
✨Know Your Java Inside Out
Make sure you brush up on your Java skills, especially with Spring. Be ready to discuss your past projects and how you've implemented Java in production-grade AI systems. They’ll want to see your depth of knowledge, so don’t hold back!
✨Showcase Your AI Experience
Prepare to talk about specific AI projects you've worked on. Highlight your hands-on experience with deploying AI solutions and creating deployable AI agents. Use examples that demonstrate your problem-solving skills and how you’ve tackled challenges in previous roles.
✨Familiarise Yourself with AWS
Since this role involves cloud-native solutions, make sure you’re well-versed in AWS services. Be ready to discuss how you’ve used AWS in your projects, particularly in relation to AI. This will show that you can hit the ground running.
✨Be Ready for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practice common algorithms and data structures in Java, and be prepared to explain your thought process. This is your chance to shine, so stay calm and think out loud!