Radley James
Artificial Intelligence Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
I’m partnering with a leading quantitative investment firm that is building a new Institutional AI engineering team focused on delivering high-impact, production-grade AI solutions across the business.
This team will design and deploy AI-powered applications that solve real operational and research challenges, working closely with quantitative researchers, trading teams, and business stakeholders. The focus is on practical deployment of Large Language Models and Generative AI in real-world production environments.
You will play a key role in architecting and delivering AI-driven applications from concept through to production. This is not a research-only role - the emphasis is on building scalable, reliable systems that create measurable impact.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Responsibilities include:
- Collaborating with cross-functional, globally distributed teams
- Gathering requirements, defining technical specifications, and owning delivery
- Designing and building scalable AI-powered products
- Integrating and deploying Large Language Models into production workflows
- Developing systems leveraging vector databases and modern data architectures
- Staying current with rapid advancements in AI, LLMs, and Generative AI
What They’re Looking For
- Strong software engineering fundamentals with excellent Python skills
- Hands-on experience building applications using LLMs and Generative AI
- Strong understanding of how language models work and how to productionize them
- Experience with vector databases and retrieval-augmented generation architectures
- Familiarity with modern data infrastructure (SQL, Redis, Kafka or similar technologies)
- Strong analytical mindset and ability to solve complex technical problems
- Excellent communication skills and collaborative approach
- High ownership mentality with a strong delivery focus
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Finance experience is not required.
If you’re interested in building real-world AI systems in a high-performance environment, feel free to message me directly for more details.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Location