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- Tasks: Design and deliver AI systems that reason and act in complex financial processes.
- Company: Join a forward-thinking company at the forefront of AI in finance.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by creating dependable AI agents for banking and finance.
- Qualifications: Strong software engineering skills, especially in Python, and experience with AI systems.
- Other info: Collaborative environment focused on innovation and responsible AI practices.
The predicted salary is between 36000 - 60000 £ per year.
As an Engineer specialising in Agentic AI, you’ll design and deliver AI-driven systems that can reason, plan, and act across complex financial processes. Your work will focus on creating dependable AI agents that support decision-making, automation, and insight across core banking, operations, risk, compliance, and customer services. This role blends engineering excellence and practical AI.
What You’ll Be Doing
- Design and build agentic AI systems capable of multi-step reasoning and task execution
- Develop AI agents that interact securely with banking platforms, data sources, and internal tools
- Integrate large language models with traditional software, rules engines, and financial logic
- Ensure AI systems operate within regulatory, risk, and governance frameworks
- Work closely with technology, product, risk, and compliance teams to deliver practical outcomes
- Build reliable, well-tested, and observable systems suitable for production banking environments
- Monitor and improve agent behaviour using clear metrics, controls, and human oversight
- Contribute to standards around AI safety, explainability, and responsible use
What We’re Looking For
- Strong experience in software engineering (Python and/or other backend languages)
- Hands-on experience building LLM-enabled or AI-assisted systems
- Solid understanding of APIs, system integration, and secure data handling
- Experience working in financial services, fintech, or other regulated environments
- Ability to translate complex requirements into clear, maintainable technical solutions
- Comfortable working collaboratively in a delivery-focused, customer centric team
Desirable Experience
- Experience designing agent-based or workflow-driven AI systems
- Knowledge of banking operations, payments, lending, fraud, or compliance processes
- Familiarity with cloud platforms and modern deployment practices
- Understanding of model governance, auditability, and AI risk management
- Interest in responsible AI and its application in real-world financial services
Agentic AI Engineer employer: Brookwood Recruitment Ltd
Contact Detail:
Brookwood Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Agentic AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and financial systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and real-world scenarios. Practice explaining your thought process clearly, especially when it comes to building AI systems and integrating them into banking processes.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Agentic AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and AI systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about Agentic AI and how your background fits into our mission at StudySmarter. Keep it engaging and personal!
Showcase Your Technical Skills: When filling out your application, be specific about your technical skills, especially in Python and system integration. We love seeing concrete examples of how you've applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Brookwood Recruitment Ltd
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of agentic AI systems and how they function within financial processes. Be ready to discuss your experience with LLMs and how you've integrated them into previous projects. This will show that you’re not just familiar with the theory but have practical insights to share.
✨Showcase Your Engineering Skills
Prepare to talk about your software engineering experience, especially in Python or other backend languages. Have examples ready that demonstrate your ability to build reliable systems and how you’ve tackled challenges in system integration and secure data handling.
✨Understand the Regulatory Landscape
Familiarise yourself with the regulatory frameworks that govern AI in financial services. Be prepared to discuss how you ensure compliance and risk management in your projects. This will highlight your awareness of the importance of governance in AI development.
✨Collaborate and Communicate
Since this role involves working closely with various teams, think of examples where you successfully collaborated with others. Highlight your communication skills and how you translate complex requirements into clear solutions. This will demonstrate your ability to work effectively in a customer-centric team.
