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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 exposure to top-tier banking professionals.
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 Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those who work with AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with AI systems and backend engineering. This will help you stand out when you’re chatting with potential employers.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and trading environments. Mock interviews with friends or mentors can really boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace AI Engineer – Trading / Treasury Focus in Manchester
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 avoid jargon unless it's relevant. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
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, and be ready to discuss your experience with AI systems, especially in production. Prepare examples of how you've built agentic workflows and integrated APIs in previous roles.
✨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 processes and risk/pricing systems. Being able to speak the language of traders and quants will definitely give you an edge.
✨Showcase Your Leadership Potential
As they’re looking for someone who can help build and lead a small AI team, be prepared to discuss your leadership experiences. Share examples of how you've mentored others or led projects, and express your vision for building a successful AI capability in their environment.
✨Prepare for Client-Facing Scenarios
Since the role involves client-facing interactions in Tier-1 bank environments, practice articulating complex technical concepts in a way that’s easy for non-technical stakeholders to understand. Think about how you would handle challenging questions from clients and be ready to demonstrate your communication skills.