At a Glance
- Tasks: Design and build AI-powered applications in a modern, cloud-native environment.
- Company: Exciting tech scale-up with over £9 million investment and a focus on innovation.
- Benefits: Competitive salary, 15% bonus, and great benefits package.
- Other info: Collaborative culture with excellent career growth opportunities in Leeds.
- Why this job: Shape the future of AI products and make a real impact in a dynamic team.
- Qualifications: 3+ years in AI/ML engineering with strong Python skills and hands-on experience.
The predicted salary is between 60000 - 84000 € per year.
AI Developer / Agentic AI Developer – Python, LLMs, GCPA scale-up technology-led product business services organisation is expanding its engineering capability with over £9 Million investment, and looking for an AI Developer / Agentic AI Developer to help design, build, and scale existing and new intelligent products for its customers.
This role offers the opportunity to work in a modern, cloud-native environment, developing AI-powered applications that go from concept to production. You’ll collaborate closely with product, engineering, and platform teams, taking ownership of AI-driven features end-to-end, from solution design and model integration through to deployment and optimisation.
You’ll play a key role in shaping how AI and agentic systems are embedded into products, influencing architectural decisions, and contributing to best practices, while working hands-on with LLMs, APIs, and cloud infrastructure to deliver scalable, real-world solutions.
Location: Leeds – 2 Days Per Week
Salary: £75,000 to £90,000 + 15% Bonus + Benefits
To be considered:
- 3+ years’ experience as an AI Engineer, ML Engineer, or Software Engineer with strong AI exposure.
- Strong hands-on experience with Python and modern AI/ML frameworks.
- Practical experience working with LLMs, prompt engineering, and/or agentic AI workflows.
- Experience building and integrating AI services via APIs and microservices.
- Familiarity with cloud platforms (preferably GCP) and deploying production-grade AI systems.
- Understanding of data pipelines, model evaluation, and AI system performance considerations.
- Experience with CI/CD, version control, and collaborative engineering practices.
- Strong problem-solving skills and the ability to work closely with product-focused teams.
This is an excellent opportunity for an AI Developer who enjoys building impactful AI-powered products, influencing technical direction, and working in a forward-thinking, engineering-led environment with strong backing and long-term vision.
Artificial Intelligence Engineer in Bradford employer: Lawrence Harvey
Join a dynamic and innovative technology-led product business in Leeds, where your expertise as an AI Engineer will be valued and nurtured. With a significant investment in engineering capabilities, we offer a collaborative work culture that encourages creativity and ownership of projects, alongside competitive salaries and a generous bonus structure. Our commitment to employee growth is evident through hands-on experience with cutting-edge AI technologies and the opportunity to influence architectural decisions in a modern, cloud-native environment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Bradford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues 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, especially those involving Python and LLMs. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practice explaining your thought process clearly, as communication is key when collaborating with product and engineering teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Artificial Intelligence Engineer in Bradford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Developer role. Highlight your experience with Python, LLMs, and any cloud platforms you've worked with. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work, especially those involving AI-powered applications and integrations.
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!
How to prepare for a job interview at Lawrence Harvey
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, especially around LLMs and agentic AI workflows. Be ready to discuss your hands-on experience with Python and any modern AI/ML frameworks you've used. This is your chance to show off your technical skills!
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed, built, or scaled AI products. Highlight your role in these projects, focusing on how you integrated AI services via APIs and microservices. Real-world examples will make you stand out!
✨Understand the Company’s Vision
Research the company’s products and their approach to AI. Understanding their goals and how they embed AI into their offerings will help you align your answers with their vision. It shows you're genuinely interested and can contribute to their mission.
✨Collaborative Mindset
Since this role involves working closely with product and engineering teams, be prepared to discuss your collaborative experiences. Share examples of how you've worked in cross-functional teams and contributed to best practices in engineering. Teamwork is key!
