At a Glance
- Tasks: Design and develop secure, scalable AI services and public APIs in a dynamic team.
- Company: Join a leading tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong focus on mentorship and continuous learning.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Extensive software engineering experience, especially with cloud-native services and API design.
The predicted salary is between 60000 - 80000 € per year.
We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you.
Requirements:
- 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.
- (Desirable) Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
- (Desirable) Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
- (Desirable) Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
- (Desirable) Familiar with AI orchestration and agentic frameworks.
- (Desirable) Experience with tools for automated testing and evaluation of AI outputs.
- (Desirable) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
- (Desirable) Experience working in Agile teams and collaborating across global R&D locations.
What the job involves:
- In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
- These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem.
- You will be part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with agility of a start-up.
- Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
- Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
- Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
- Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
- Embed robust security controls to protect sensitive data and ensure secure access to AI services.
- Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence.
- Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation.
Experienced Software Engineer (AI Services) in Cambridge employer: Deepstreamtech
At AVEVA, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our Core AI Services team is at the forefront of technology, providing employees with opportunities for professional growth through mentorship and hands-on experience with cutting-edge AI solutions. Located in a vibrant tech hub, we support a healthy work-life balance and encourage continuous learning, making AVEVA a rewarding place to advance your career in software engineering.
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, 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 related to AI services and cloud-native development. This gives potential employers a taste of what you can do beyond your CV.
✨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.
✨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 love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Experienced Software Engineer (AI Services) in Cambridge
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and software engineering shine through. We want to see that you’re not just qualified, but genuinely excited about the challenges of building innovative AI services.
Tailor Your Experience:Make sure to highlight your relevant experience with cloud-native services and RESTful APIs. We love seeing how your background aligns with our needs, so don’t be shy about showcasing your skills in Microsoft and .NET technologies!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for our Core AI Services team. Remember, less is often more!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Microsoft and .NET technologies, as well as cloud-native service development. Brush up on RESTful API design and security practices, so you can confidently discuss your experience and how it relates to the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific technical challenges you've faced and how you approached them. Use examples that highlight your ability to analyse complex issues and propose scalable solutions, especially in AI contexts.
✨Familiarise Yourself with AI Concepts
If you have experience with Large Language Models or AI orchestration frameworks, be ready to talk about it! Understanding concepts like Retrieval-Augmented Generation and AI ethics will set you apart from other candidates.
✨Emphasise Collaboration and Mentorship
Since this role involves working in Agile teams and mentoring junior developers, think of examples where you’ve successfully collaborated across teams or helped others grow. This shows you’re not just a tech whiz but also a team player.
