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- Tasks: Design and deploy AI applications using large language models for real-world impact.
- Company: Exciting Series A SaaS company delivering cutting-edge AI platforms.
- Benefits: Competitive salary, bonuses, learning budget, and strong career growth opportunities.
- Why this job: Join a collaborative team and work on high-impact AI projects for global organisations.
- Qualifications: Experience with LLM APIs, Python, and building production services.
- Other info: Dynamic environment focused on innovation and experimentation.
The predicted salary is between 36000 - 60000 £ per year.
My client are a Series A SaaS partner, who deliver AI platforms for their customers, at scale. They are looking for an AI Engineer who loves building reliable applications powered by large language models. This role is less about model research and more about engineering robust AI systems that work in the real world.
What you'll be doing:
- Designing and deploying production AI applications using LLMs
- Building RAG pipelines, agentic workflows, and scalable orchestration layers
- Integrating vector databases, APIs, and data pipelines
- Creating evaluation frameworks to measure system performance and reliability
- Improving AI systems through observability, feedback loops, and experimentation
- Optimising prompts, latency, cost, and output quality across different models
What we're looking for:
- Hands-on experience building applications with LLM APIs
- Practical knowledge of RAG architectures, vector databases, and prompt engineering
- Experience building multi-step AI workflows or agent systems
- Strong Python (or similar) and experience building production services
- Understanding of cloud platforms and distributed systems
- Ability to work with non-deterministic systems and iterate through experimentation
Nice to have:
- Experience with AI-assisted coding tools
- Familiarity with evaluation or model observability tools
- Experience in regulated or complex enterprise environments
- Exposure to real-time systems, search technologies, or multimodal AI
Why join:
- Work on real-world AI systems used by global organisations
- High-impact projects at the forefront of generative AI
- Collaborative team of AI specialists and engineers
- Competitive salary + bonus
- Learning budget and strong career growth opportunities
Artificial Intelligence Engineer in Leeds employer: Block MB
Contact Detail:
Block MB Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, 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 projects, especially those involving LLMs and RAG architectures. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and cloud platforms. Practice coding challenges and be ready to discuss your approach to building production AI applications. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Engineer in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with LLM APIs and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about building reliable AI applications and how your experience fits into our mission. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Be specific about your technical expertise in Python, RAG architectures, and cloud platforms. We’re looking for engineers who can hit the ground running, so highlight any relevant projects or systems you’ve built.
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 a few clicks and you’re done!
How to prepare for a job interview at Block MB
✨Know Your AI Stuff
Make sure you brush up on your knowledge of large language models and RAG architectures. Be ready to discuss your hands-on experience with LLM APIs and how you've built applications in the past. This will show that you’re not just familiar with the theory but can actually apply it in real-world scenarios.
✨Showcase Your Engineering Skills
Prepare to talk about specific projects where you've designed and deployed production AI applications. Highlight your experience with Python or similar languages, and be ready to explain how you’ve integrated vector databases and built scalable workflows. Real examples will make your skills stand out!
✨Demonstrate Problem-Solving Ability
Since this role involves working with non-deterministic systems, think of instances where you had to iterate through experimentation to improve a system. Discuss how you approached challenges, optimised prompts, and measured performance. This will illustrate your analytical mindset and adaptability.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s AI projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.