At a Glance
- Tasks: Lead AI projects for trading and treasury, designing end-to-end systems.
- Company: Join a leading financial services firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in finance by building cutting-edge AI systems.
- Qualifications: 6-10 years in software engineering with AI experience; strong Python skills required.
- Other info: Work in a dynamic environment with potential to lead a small AI team.
The predicted salary is between 72000 - 108000 £ per year.
Mission:
- Build and lead AI capability focused on agentic AI for trading / treasury
- Deliver production-grade systems in regulated financial services environments
We are looking at Architect / Principal Engineer level candidates who will be:
- Able to design systems end-to-end
- Comfortable client-facing in Tier-1 bank environments
- Potential to help build and lead a small AI team
Core Technical Requirements:
- 6–10+ years software engineering experience
- 2–4+ years building AI / LLM systems in production
- Experience building agentic workflows (tool calling, orchestration, RAG)
- Strong backend engineering (Strong in Python essential)
- API integrations with enterprise systems
- Experience with vector databases and structured retrieval
- Cloud deployment (AWS / Azure / GCP)
- Monitoring, logging and auditability experience
Financial Services Experience (Must Have):
- Exposure to Front Office trading or Treasury
- Understanding of risk / pricing systems integration
- Experience in regulated environments (audit, compliance, governance)
- Comfortable working with traders, quants and risk teams
Nice to Have:
- Human-in-the-loop systems
- Trading desk automation
- LLM provider-agnostic architecture
- Experience moving PoC to Production in enterprise environments
AI Engineer – Trading / Treasury Focus in Cambridge employer: PR GLOLINKS
Contact Detail:
PR GLOLINKS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer – Trading / Treasury Focus in Cambridge
✨Tip Number 1
Network like a pro! Connect with folks in the financial services and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to trading or treasury. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with agentic workflows and cloud deployments. Practice common interview questions and think about how you can demonstrate your client-facing abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out by tailoring it to the specific role you're interested in.
We think you need these skills to ace AI Engineer – Trading / Treasury Focus in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience in building AI systems, especially in trading or treasury environments. We want to see how your skills match our needs!
Showcase Your Projects: Include specific projects where you've built agentic workflows or worked with LLM systems. We love seeing real examples of your work, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and make it easy for us to see why you’re a great fit for the role.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to track your application and get back to you quickly!
How to prepare for a job interview at PR GLOLINKS
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core technical requirements listed in the job description. Brush up on your Python skills, especially in backend engineering, and be ready to discuss your experience with AI systems and cloud deployment. Being able to articulate your past projects will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Understand the Financial Landscape
Since this role is focused on trading and treasury, it’s crucial to have a solid grasp of financial services. Familiarise yourself with front office trading, risk systems, and compliance regulations. This knowledge will help you connect with the interviewers and demonstrate that you can navigate the complexities of their environment.
✨Prepare for Client-Facing Scenarios
Given that the role involves client-facing responsibilities, practice how you would communicate complex technical concepts to non-technical stakeholders. Think about examples from your past where you successfully engaged with clients or collaborated with teams in high-pressure environments, particularly in Tier-1 banks.
✨Show Leadership Potential
As they’re looking for someone who can help build and lead a small AI team, be prepared to discuss your leadership style and experiences. Share specific instances where you’ve led projects or mentored others, and express your vision for fostering a collaborative team culture in the AI space.