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.
What you’ll be doing:
- 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.
What they’re looking for:
- 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.
- Someone delivery-focused who can drive workstreams to completion within governance and compliance requirements.
To discuss this role in detail, please apply ASAP.
AI Integration Engineer employer: DTG Global
Join a leading professional services firm renowned for its commitment to innovation and employee development. As an AI Integration Engineer in their in-house AI Lab, you'll thrive in a collaborative work culture that prioritises responsible AI practices and offers ample opportunities for growth and mentorship. With a focus on cutting-edge technology and a supportive environment, this role not only allows you to make a significant impact but also ensures your skills are continuously honed in a dynamic setting.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in AI or backend engineering. 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 AI integration projects, especially any that highlight your Azure experience. 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 how you've integrated AI into applications in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Integration Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your backend engineering experience and any hands-on Azure projects you've worked on. 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 AI integration and how your experience can help us turn AI capabilities into reality. Keep it engaging and personal.
Showcase Your Technical Skills:When filling out your application, be specific about your experience with Python, SQL, and API orchestration. We love seeing concrete examples of how you've integrated AI or data-driven services in past roles.
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 from us!
How to prepare for a job interview at DTG Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and Azure. Brush up on your backend engineering skills and be ready to discuss how you've integrated AI into applications in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in deploying production-grade AI solutions. Think about times when you had to optimise performance or handle errors effectively, as these are key aspects of the role.
✨Understand Responsible AI Practices
Familiarise yourself with responsible AI practices and be prepared to discuss how you would implement guardrails and governance in your projects. This shows that you’re not just technically skilled but also aware of the ethical implications of AI.
✨Collaboration is Key
Since the role involves working with various teams, think of examples where you’ve successfully collaborated with others. Highlight any experience you have in coaching junior engineers, as this will demonstrate your leadership potential.
