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 experience with 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 in London employer: Ports North
As a global leader in the automotive systems industry, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on cutting-edge AI projects from the comfort of your home. Join us to be part of a collaborative team that values creativity and excellence, while enjoying the flexibility of remote work and occasional office interactions.
StudySmarter Expert Advice🤫
We think this is how you could land Principal AI Java Engineer Remote Cloud-Native in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and Java communities. Attend meetups or webinars to meet potential employers and showcase your skills. Remember, sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your projects! If you've worked on any AI systems or Java applications, make sure to have them ready to discuss. A portfolio can really set you apart and give us something tangible to talk about during interviews.
✨Tip Number 3
Prepare for technical interviews! Brush up on your Java, Spring, and AWS knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Principal AI Java Engineer Remote Cloud-Native in London
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 deployable AI agents.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep everything organised and makes sure your application gets the attention it deserves!
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!
