At a Glance
- Tasks: Design and develop AI-enabling platform services and public APIs in a hybrid work environment.
- Company: Global leader in industrial software with a focus on innovation.
- Benefits: Up to £86,000 salary, flexible working, and comprehensive benefits.
- Other info: Collaborative culture with opportunities for growth and development.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Extensive software engineering experience, especially with cloud-native services and APIs.
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.
- Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
- Familiar with AI orchestration and agentic frameworks.
- Experience with tools for automated testing and evaluation of AI outputs.
- Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
- Experience working in Agile teams and collaborating across global R&D locations.
You will be working out of their North Cambridge based office on a hybrid basis (50% WFH), they will be moving into a new office space soon which offers ample parking and easy access whether you drive or take public transport. The position pays a salary of up to £86,000 plus benefits.
If you are interested in discussing this role further, please get in touch. You can reach me via email at sabrina@socode.co.uk.
Experienced Software Engineer, AI Services in Cambridge employer: SoCode Recruitment
Join a global leader in industrial software as an Experienced Software Engineer in AI Services, where innovation meets collaboration in a vibrant hybrid work environment. With a competitive salary of up to £86,000 and a commitment to employee growth, you will have the opportunity to work on cutting-edge AI technologies while enjoying a supportive culture that values your contributions. Located in North Cambridge, our new office will provide excellent amenities and accessibility, making it an ideal place for talented individuals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Software Engineer, AI Services in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI services. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native services and APIs. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to RESTful API design and cloud services. Practise explaining your thought process when solving complex problems—employers love that!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Experienced Software Engineer, AI Services in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience 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 expertise in RESTful API design and scalable solutions!
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. Let’s see your personality come through while keeping it professional.
Showcase Relevant Projects:If you've worked on projects involving Large Language Models or AI orchestration, make sure to mention them! We love seeing real-world applications of your skills, so include any relevant experiences that demonstrate your problem-solving abilities.
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 follow the prompts and you’ll be all set!
How to prepare for a job interview at SoCode Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft and .NET technologies, as well as RESTful API design. Be ready to discuss your hands-on experience with cloud-native services, Docker, and Kubernetes. The more you can demonstrate your expertise, the better!
✨Showcase Problem-Solving Skills
Prepare to tackle some complex technical challenges during the interview. Think of examples from your past work where you analysed a problem and proposed a scalable solution. This will highlight your critical thinking and problem-solving abilities.
✨Familiarise Yourself with AI Standards
Since the role involves AI services, it’s crucial to understand AI ethics and regulations like the NIST AI RMF and EU AI Act. Be prepared to discuss how these standards influence your work and decision-making in AI development.
✨Emphasise Team Collaboration
This position requires working in Agile teams across global R&D locations. Share your experiences of collaborating with diverse teams and how you’ve contributed to successful projects. Highlighting your teamwork skills will show you’re a great fit for their culture.
