Overview
Our client is building AI agents that automate some of the most complex operational workflows in financial services. Their platform helps fintechs, banks, and regulated businesses investigate risk, perform due diligence, and analyse unstructured information using autonomous AI systems that can reason, research, and execute tasks with minimal human input. Backed by Y Combinator, Speedinvest, and a recent €2.5m seed round, they are already supporting customers across Europe, North America, the Middle East, and Asia, helping organisations reduce manual reviews by up to 65% while saving thousands of operational hours every year.
Role Overview
You’ll join as a AI Product Engineer, building production AI agents and intelligent workflows that automate risk investigations, compliance processes, and due diligence reviews for global financial institutions. Working directly with founders and customers, you’ll own products from idea to deployment in a fast-moving, AI-native environment.
Key Responsibilities
- Build and deliver AI-powered product capabilities that solve real customer problems in highly regulated environments.
- Develop intelligent workflows that combine language models, business logic, external systems, and proprietary data sources.
- Design and improve the infrastructure that powers autonomous AI systems in production.
- Take ownership of features throughout their lifecycle, from discovery and implementation through deployment and continuous improvement.
- Collaborate directly with customers to understand operational challenges and rapidly translate feedback into product enhancements.
- Improve the reliability, performance, and scalability of AI-powered systems operating in live customer environments.
- Contribute to architectural decisions and engineering standards while maintaining a strong bias toward simplicity and execution.
- Help shape the future direction of both the product and engineering function as the company scales.
Qualifications
- Strong software engineering background with significant experience building backend applications and distributed systems.
- Commercial experience building and shipping AI-powered products or features used by real customers.
- Hands-on experience integrating LLMs, AI services, or intelligent automation into production systems.
- Experience designing APIs, integrations, and data-intensive applications.
- Strong understanding of the full software development lifecycle, including deployment, monitoring, and iteration.
- Practical experience using Python for AI, automation, or data processing workloads.
- Familiarity with agent-based architectures, retrieval systems, workflow orchestration, or modern AI tooling.
- Strong product instincts and the ability to balance technical quality with speed of delivery.
- Comfortable working directly with customers, gathering feedback, and operating with high levels of autonomy.
- Experience in fast-paced startup environments is highly advantageous.
If you’re excited by the opportunity to build AI agents that automate complex decision-making, transform how financial institutions manage risk, and help shape an ambitious AI company from an early stage, we’d love to hear from you.
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