At a Glance
- Tasks: Design and build end-to-end AI solutions, integrating AI into applications.
- Company: Join a leading professional services firm with an innovative AI Lab.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Collaborative environment with coaching opportunities for junior engineers.
- Why this job: Make a real impact by turning AI capabilities into live applications.
- Qualifications: Strong backend engineering skills and Azure experience required.
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 (M/F) employer: DTG Global
Join a leading professional services firm renowned for its commitment to innovation and excellence in the AI space. With a collaborative work culture that fosters creativity and continuous learning, employees are encouraged to grow their skills through hands-on projects and mentorship opportunities. Located in a vibrant tech hub, this role offers the chance to work on cutting-edge AI solutions while enjoying a supportive environment that values responsible practices and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land System Integration Engineer (M/F)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI or system integration. A friendly chat can lead to insider info about job openings that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving backend services and AI integrations. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, SQL, and Azure. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace System Integration Engineer (M/F)
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!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about integrating AI into applications and how your hands-on experience makes you a perfect fit for our team.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and API orchestration. We love seeing specific examples of how you've used these skills in real-world scenarios, so get detailed!
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 in our AI Lab!
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.
✨Demonstrate Collaboration Experience
Since this role involves working across various teams, share examples of how you’ve collaborated with architecture, product, and AI teams in the past. Highlight any coaching or mentoring experiences you’ve had with junior engineers to show your leadership potential.
✨Emphasise Responsible AI Practices
Familiarise yourself with responsible AI practices and be ready to discuss how you’ve implemented guardrails and governance in your projects. This will show that you understand the importance of embedding these practices from the start rather than adding them later.
