At a Glance
- Tasks: Design and develop secure, cloud-native AI services and public APIs.
- Company: Global leader in industrial software with a focus on innovation.
- Benefits: Up to £86,000 salary, hybrid work, and comprehensive benefits.
- Other info: Collaborative environment with opportunities for global teamwork and career growth.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Extensive software engineering experience, especially with Microsoft and .NET technologies.
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.
Responsibilities
- Design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
- Architect and deploy scalable cloud-native services using PaaS, Docker, and Kubernetes for AI workloads.
- Ensure secure API design, versioning, testing, and lifecycle management.
- Secure APIs, manage authentication/authorization, and data privacy practices.
Required Skills
- Extensive experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Proficiency 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.
- 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).
- Familiarity 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). The position pays a salary of up to £86,000 plus benefits.
Experienced Software Engineer, AI Services in Milton Keynes employer: SoCode Limited
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 in North Cambridge. With a competitive salary of up to £86,000 and a strong focus on employee growth, you will have the opportunity to work on cutting-edge AI technologies while enjoying a supportive culture that values creativity and professional development. Embrace the unique advantages of working in a dynamic team that prioritises responsible AI development and fosters a commitment to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Software Engineer, AI Services in Milton Keynes
✨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 AI services and cloud-native solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common coding challenges and be ready to discuss your experience with RESTful APIs and cloud technologies.
✨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 get noticed by our hiring team.
We think you need these skills to ace Experienced Software Engineer, AI Services in Milton Keynes
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your expertise in software engineering, especially with Microsoft and .NET technologies, to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI services and how your background aligns with our needs. Share specific examples of your work with cloud-native services and API design.
Showcase Your Problem-Solving Skills:In your application, don’t shy away from discussing complex technical challenges you've tackled. We love seeing how you approach problems and come up with scalable solutions!
Apply Through Our Website:We encourage you to apply directly 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!
How to prepare for a job interview at SoCode Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Microsoft and .NET technologies, as well as cloud-native services. Brush up on your knowledge of PaaS, Docker, and Kubernetes, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your API Skills
Prepare to talk about your experience with RESTful API design and lifecycle management. Have examples ready that demonstrate your ability to secure APIs and manage authentication/authorization effectively.
✨Problem-Solving Scenarios
Expect to face some technical challenges during the interview. Think of complex problems you've solved in the past and be ready to explain your thought process and the solutions you implemented.
✨Stay Updated on AI Trends
Familiarise yourself with the latest in AI, especially Large Language Models and AI ethics. Being able to discuss concepts like Retrieval-Augmented Generation and AI regulations will show your commitment to responsible AI development.
