Agentic AI Engineer
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
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
- 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
- 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