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 opportunities to mentor 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:
- Design, build and own end-to-end AI solutions - from secure, scalable integration through to deployment and live support.
- Develop robust backend services and API orchestration to underpin production-grade AI applications.
- Ensure operational excellence through monitoring, error handling, performance optimisation and Azure-based deployments.
- Embed responsible AI practices from the start - guardrails, controls, governance.
- 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 in London 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 fosters your professional journey in the heart of a dynamic industry.
StudySmarter Expert Advice🤫
We think this is how you could land AI Integration Engineer in London
✨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 AI integration projects, backend services, and any cool stuff you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python, SQL, and Azure knowledge. Be ready to discuss how you've tackled challenges in past projects, especially around deploying production-grade solutions.
✨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 AI Integration Engineer in London
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 makes you the perfect fit for our team. Let us know what excites you about this role!
Showcase Your Technical Skills:When filling out your application, be sure to mention your proficiency in Python, SQL, and API orchestration. We’re looking for someone who can hit the ground running, so highlight any relevant projects or experiences that demonstrate your expertise.
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 the role. Plus, it’s super easy – just follow the prompts and let us know you’re interested!
How to prepare for a job interview at DTG Global
✨Know Your Tech Inside Out
Make sure you brush up on your backend engineering skills, especially with Python and SQL. Be ready to discuss your previous projects where you've integrated AI or data-driven services, as this will show your hands-on experience and technical prowess.
✨Showcase Your Azure Expertise
Since the role requires Azure experience, be prepared to talk about your past cloud deployments. Highlight any specific challenges you faced and how you overcame them, as well as your understanding of secure and scalable solutions.
✨Demonstrate Problem-Solving Skills
Think of examples where you've had to monitor, handle errors, or optimise performance in live environments. This will illustrate your ability to ensure operational excellence and your delivery-focused mindset.
✨Collaboration is Key
This role involves working with various teams, so be ready to discuss how you've collaborated with others in the past. Share experiences where you provided coaching or support to junior engineers, as this shows your leadership potential and teamwork skills.
