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- Tasks: Design and develop cutting-edge AI platform services and secure public APIs.
- Company: Global leader in industrial software with a focus on innovation.
- Benefits: Competitive salary up to £86,000, hybrid work, and great benefits.
- Other info: Dynamic environment with opportunities for career growth and skill enhancement.
- Why this job: Join a team shaping the future of AI technology and make a real impact.
- Qualifications: Extensive software engineering experience, especially in cloud-native development.
The predicted salary is between 86000 - 86000 £ per year.
I am currently working with a Global leader in industrial software who are looking for an Experienced Software Engineer to join their AI Services. You will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
You’ll need the following skills and experience:
- Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Proficient in securing APIs, managing authentication/authorization and data privacy practices.
- Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
Desired skills and competencies:
- Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
- Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
Experienced Software Engineer, AI Services employer: SoCode Limited
Contact Detail:
SoCode Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Experienced Software Engineer, AI Services
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native services and AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with RESTful APIs and cloud technologies in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Experienced Software Engineer, AI Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering, especially with cloud-native services and Microsoft technologies. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI services and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a personal touch!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex technical challenges. We’re keen on seeing how you approach problems and come up with scalable solutions, so don’t hold back!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at SoCode Limited
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft and .NET technologies. Be ready to discuss your experience with RESTful API design and how you've managed authentication and data privacy in past projects. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex technical challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help demonstrate your analytical skills and ability to propose scalable solutions.
✨Get Familiar with AI Concepts
Since the role involves working with AI services, make sure you understand concepts like Large Language Models, Retrieval-Augmented Generation, and prompt engineering. Being able to discuss these topics will show your enthusiasm for the field and your readiness to contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI services and their approach to cloud-native development. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with your interviewers on a deeper level.