At a Glance
- Tasks: Design and build end-to-end AI solutions, integrating AI into applications.
- Company: Leading professional services firm with a cutting-edge AI Lab.
- Benefits: Competitive salary, hands-on coaching, and opportunities for career growth.
- Other info: Collaborative environment with a focus on responsible AI practices.
- Why this job: Turn AI capabilities into reality and make a real impact in tech.
- Qualifications: Strong backend engineering skills and experience with Azure and APIs.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a leading professional services firm to find a Senior AI Integration Engineer for their in-house AI Lab. This is a hands-on engineering role focused on turning AI capability into live, production-grade reality – integrating AI into applications, building reliable backend services, and owning solutions through to deployment and ongoing support.
You’ll design, build and own end-to-end AI solutions - from secure, scalable integration through to deployment and live support. You’ll develop robust backend services and API orchestration to underpin production-grade AI applications, and ensure operational excellence through monitoring, error handling, performance optimisation and Azure-based deployments.
Responsible AI practices are embedded from the start - guardrails, controls, governance – not bolted on at the end. You’ll collaborate across architecture, product and AI teams and provide hands-on coaching to junior engineers.
- Strong backend engineering with experience delivering production-ready software
- Hands-on Azure experience – designing and supporting secure, scalable cloud deployments
- Experience integrating AI or data-driven services into applications or operational workflows
- Solid understanding of APIs, reliability, monitoring and deployment in live environments
- Python and SQL in practice
To discuss this role in detail, please apply ASAP.
System Integration Engineer employer: DTG Global
Join a leading professional services firm that champions innovation and collaboration within its in-house AI Lab. As a System Integration Engineer, you'll thrive in a dynamic work culture that prioritises employee growth through hands-on coaching and cross-team collaboration, while enjoying the benefits of working in a cutting-edge environment focused on responsible AI practices. With a commitment to operational excellence and a supportive atmosphere, this role offers a unique opportunity to make a meaningful impact in the world of AI integration.
StudySmarter Expert Advice🤫
We think this is how you could land System Integration Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 integration and backend services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Practice coding challenges and be ready to discuss your past projects in detail, especially how you’ve tackled deployment and monitoring.
✨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 proactive about their job search!
We think you need these skills to ace System Integration Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with backend engineering and Azure deployments. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI integration and how your hands-on experience can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and API orchestration. We’re looking for someone who can hit the ground running, so highlight any specific projects where you’ve successfully integrated AI or data-driven services.
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. Plus, it’s super easy!
How to prepare for a job interview at DTG Global
✨Know Your Tech Inside Out
Make sure you’re well-versed in backend engineering principles, especially with Python and SQL. Brush up on your Azure experience too, as they’ll likely ask about your hands-on work with cloud deployments and how you’ve integrated AI into applications.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles, particularly around API orchestration and performance optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Emphasise Collaboration
This role involves working closely with various teams, so be ready to talk about your experience collaborating with architecture, product, and AI teams. Share examples of how you’ve coached junior engineers or contributed to team success in past projects.
✨Understand Responsible AI Practices
Familiarise yourself with responsible AI practices, including governance and controls. Be ready to discuss how you’ve implemented these practices in your previous work, ensuring that they are part of the development process from the start.
