At a Glance
- Tasks: Build and ship cutting-edge AI systems for global financial institutions.
- Company: Fast-scaling AI company with top-tier investors and a dynamic culture.
- Benefits: Competitive salary up to £200,000 plus equity and growth opportunities.
- Other info: Join a high-calibre team and help shape the future of AI.
- Why this job: Make a real-world impact in enterprise AI and own your projects.
- Qualifications: Experience in AI systems, strong Python skills, and adaptability in fast-paced environments.
We’re working with a fast-scaling AI company building next-generation systems that automate complex, high-value workflows for global financial institutions. Backed by top-tier investors and growing rapidly, they’re tackling one of the biggest opportunities in enterprise AI today.
The Role
This is a hands-on Applied AI Engineering role focused on building and shipping production-grade AI systems. You’ll be working across:
- Multi-agent architectures
- RAG pipelines and evaluation frameworks
- Backend systems and APIs (Python)
- End-to-end AI feature delivery at scale
You’ll own projects from idea to production, working closely with founders and a high-calibre team.
What They’re Looking For
- Experience building AI/LLM-powered systems in production
- Strong backend engineering (Python preferred)
- Familiarity with RAG, agents, evals, and ML pipelines
- Comfortable operating in fast-paced, early-stage environments
Why It’s Interesting
- One of the fastest-growing companies in enterprise AI
- Real-world impact across global financial systems
- High ownership, working directly with experienced founders
- Opportunity to help define the future of AI in production
Artificial Intelligence Engineer employer: Radley James
Radley James is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a focus on collaboration and employee growth, team members are encouraged to take ownership of their projects while working with cutting-edge technologies in a hybrid London setting. The company values creativity and offers unique opportunities for professional development, making it an ideal place for passionate individuals seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving multi-agent architectures or RAG pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and backend engineering concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
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 Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of an Applied AI Engineer. Highlight your experience with AI systems, backend engineering, and any relevant projects you've worked on. 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! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don’t forget to mention specific technologies or projects that relate to the job description.
Showcase Your Projects:If you've worked on any AI/LLM-powered systems or relevant projects, make sure to showcase them in your application. We love seeing real-world examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Radley James
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to multi-agent architectures and RAG pipelines. Be ready to discuss your past experiences building AI/LLM-powered systems in production, as this will show you understand the role's requirements.
✨Show Off Your Python Skills
Since strong backend engineering in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can really help you shine.
✨Embrace the Fast-Paced Environment
This company thrives in a fast-paced, early-stage environment, so be ready to share examples of how you've successfully navigated similar situations. Highlight your adaptability and ability to deliver projects from idea to production quickly and efficiently.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's vision for AI and how they plan to tackle challenges in the financial sector. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
