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- Tasks: Implement AI solutions and technologies in a high-functioning team.
- Company: Global leader in the automotive systems industry.
- Benefits: Remote work, potential for permanent employment, and competitive pay.
- Other info: Opportunity for career growth in a dynamic, tech-forward environment.
- Why this job: Join innovative AI projects and make a real impact in the automotive sector.
- Qualifications: Deep expertise in Java, Spring, AWS, and modern AI-driven systems.
The predicted salary is between 80000 - 100000 £ per year.
Our client - a global automotive systems industry leader - is looking to hire a Principal AI Software Engineer (Java) to join them on an initial 6-month contract, with a view to transition to permanent employment. This role will be operating as part of a high-functioning team focused on AI-forward projects in which you will be implementing AI solutions and technologies, as well as incorporating AI into how your work on a daily basis (for example, Claude Code, Copilot). This role is remote-working (with some occasional visits to site), and will be operating inside IR35.
Requirements:
- Deep expertise with Java / Spring / AWS
- Hands-on production grade experience - or least PoC for LLM's
- Creating agents and creating code that can run on production as AI agents
- Customer facing software/platform re-write experience
- Deep technical expertise in modern and AI-driven systems (engineering and architecture levels)
- Ownership of end-to-end, scalable architectures (some cloud-native, some on-prem still)
- Exceptional problem-solving and engineering judgment
- Strategic alignment with product and business outcomes
Principal AI Software Engineer - Java employer: Ports North
Contact Detail:
Ports North Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Software Engineer - Java
✨Tip Number 1
Network like a pro! Reach out to your connections in the automotive and AI sectors. We all know that sometimes it’s not just what you know, but who you know. Attend industry meetups or webinars to make those valuable connections.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Java and AWS. We want to see your hands-on experience, so don’t be shy about sharing your work on platforms like GitHub.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Expect technical questions that test your knowledge of AI-driven systems and scalable architectures. We recommend practicing coding challenges to get into the right mindset.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals like you to join our team, so don’t miss out on the chance to land that Principal AI Software Engineer role!
We think you need these skills to ace Principal AI Software Engineer - Java
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your deep expertise with Java, Spring, and AWS. We want to see how your hands-on experience aligns with the role, so don’t be shy about showcasing your production-grade projects or PoCs for LLMs.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your skills can contribute to our high-functioning team. Be specific about your customer-facing software experience and any relevant projects you've worked on.
Showcase Problem-Solving Skills: In your application, highlight examples where you've demonstrated exceptional problem-solving and engineering judgment. We love seeing how you tackle challenges, especially in AI-driven systems and scalable architectures.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out!
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 and AWS. Be ready to discuss your hands-on experience with production-grade applications and any proof of concepts you've worked on for large language models. This will show that you’re not just familiar with the tech but have actually implemented it.
✨Showcase Your AI Knowledge
Since this role is all about AI-forward projects, be prepared to talk about how you've incorporated AI into your previous work. Discuss specific examples where you've created agents or implemented AI solutions, and how these contributed to the overall success of the project.
✨Demonstrate Problem-Solving Skills
Expect to face some technical challenges during the interview. Prepare to walk through your thought process on how you approach problem-solving, particularly in the context of scalable architectures. Highlight any past experiences where your engineering judgment made a significant impact.
✨Align with Business Outcomes
Understand the strategic goals of the company and be ready to discuss how your technical expertise aligns with their product and business outcomes. This shows that you’re not just a techie but also someone who understands the bigger picture and can contribute to the company's success.