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
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Radley James.
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We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Radley James
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
