At a Glance
- Tasks: Design and build AI solutions, maintain coding standards, and support junior engineers.
- Company: Join a leading professional services firm with an innovative AI Lab.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in AI development and shape the future of technology.
- Qualifications: Experience in AI solutions, strong software engineering skills, and clear communication abilities.
The predicted salary is between 60000 - 80000 £ per year.
We’re working with a leading professional services firm to find an AI Software Engineer to join their in-house AI Lab. This is a core technical role - the person who helps design and build the foundation that AI solutions are built on. Engineering depth, systems thinking, quality.
What you’ll be doing:
- You’ll contribute to system design and feasibility assessments for new AI initiatives.
- Help maintain and evolve development and coding standards across the Lab.
- Implement enterprise integration patterns that connect AI solutions to the wider technology ecosystem securely and at scale.
- You’ll build automation frameworks that improve the speed and reliability of development, testing and deployment.
- Participate in technical reviews.
- Design and develop AI solutions end-to-end across the Lab’s core platforms.
- Produce clear technical documentation.
- Support junior engineers with day-to-day guidance and code review.
What they’re looking for:
- Solid experience designing and delivering AI or data-driven solutions in a professional context, with involvement in architectural or system-level decisions.
- Working knowledge of enterprise AI platforms - Copilot Studio, Azure AI Foundry or equivalent - or the ability to get up to speed quickly.
- Strong software engineering principles: system design, API and integration patterns, security fundamentals.
- Python and SQL in practice, across both code-first and low-code platforms.
- Comfortable in governance and compliance-aware environments.
- Clear technical communicator — documentation and diagrams accessible to both engineers and non-technical stakeholders.
To discuss in detail, please apply ASAP.
AI Software Engineer employer: DTG Global
Join a leading professional services firm renowned for its commitment to innovation and excellence in the AI sector. As an AI Software Engineer in their in-house AI Lab, you'll thrive in a collaborative work culture that prioritises employee growth and development, offering opportunities to mentor junior engineers and engage in cutting-edge projects. With a focus on quality and systems thinking, this role not only allows you to shape the future of AI solutions but also provides a supportive environment where your contributions are valued and recognised.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software 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 AI projects, coding standards, and any automation frameworks you've built. This is your chance to demonstrate your engineering depth and system design prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with enterprise AI platforms and how you've tackled system-level decisions in past projects.
✨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 Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI and data-driven solutions. We want to see how you've contributed to system design and architectural decisions, so don’t hold back on those details!
Showcase Your Skills:When writing your application, emphasise your software engineering principles, especially around system design and integration patterns. We’re looking for someone who knows their stuff, so let us know what you can bring to the table!
Be Clear and Concise:Your written application should be easy to read and understand. Use clear language and avoid jargon where possible. Remember, we want to see your technical communication skills shine through!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting role in our AI Lab.
How to prepare for a job interview at DTG Global
✨Know Your AI Fundamentals
Make sure you brush up on your knowledge of AI and data-driven solutions. Be prepared to discuss your experience with architectural decisions and how you've contributed to system design in previous roles. This will show that you understand the core technical aspects of the job.
✨Showcase Your Coding Skills
Since Python and SQL are key for this role, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss your past projects. Practising coding challenges beforehand can really help you feel more confident.
✨Prepare for Technical Communication
As a clear communicator, you’ll need to explain complex concepts simply. Think about how you would present your past work to both technical and non-technical stakeholders. Bring examples of documentation or diagrams you've created to illustrate your points.
✨Understand Enterprise Integration Patterns
Familiarise yourself with enterprise AI platforms like Copilot Studio or Azure AI Foundry. Be ready to discuss how you’ve implemented integration patterns in your previous work. Showing that you can connect AI solutions securely and at scale will set you apart from other candidates.
