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- 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 Liverpool 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 Liverpool
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work in trading or treasury. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your AI projects, especially those related to trading or treasury. This will help you stand out and demonstrate your hands-on experience in regulated environments.
✨Tip Number 3
Practice makes perfect! Get ready for those client-facing interviews by role-playing with a friend or mentor. Focus on how you can communicate complex AI concepts clearly to traders and quants.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better chance of landing that dream job in AI engineering.
We think you need these skills to ace AI Engineer – Trading / Treasury Focus in Liverpool
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 designed end-to-end systems or worked with agentic workflows. 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/LLM systems and cloud deployment. Being able to articulate your past projects will show you’re the right fit for the role.
✨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 risk and pricing systems, and be prepared to discuss how your technical skills can integrate with these areas. Showing that you understand the environment you’ll be working in will impress your interviewers.
✨Prepare for Client-Facing Scenarios
As this position involves client interaction in Tier-1 bank environments, practice how you would communicate complex technical concepts to non-technical stakeholders. Think about examples from your past where you successfully navigated client relationships or presented technical solutions, as this will demonstrate your ability to bridge the gap between tech and business.
✨Show Leadership Potential
The role requires someone who can help build and lead a small AI team. Be ready to discuss your leadership experiences, even if they were informal. Highlight any instances where you’ve mentored others or taken initiative in projects, as this will showcase your potential to grow into a leadership role within the company.