The Role
Design and deploy production-grade AI and agentic automation for payments, including reconciliations, reporting, financial analytics, incident automation, and least-cost routing. Build solutions with Claude, Java, Spring AI, Python, n8n, MCP, APIs, and data pipelines. Ensure systems are scalable, auditable, compliant, and maintain human oversight. Collaborate across finance, business, and engineering while managing AI failure modes and delivering solutions from discovery through optimization.
Summary Generated by Built In
We’re building a next-generation AI Payments Engineering Team and are looking for a talented AI Automation Engineers to help shape an AI-native Payments Operating System.
This is an exciting opportunity for engineers who want to move beyond traditional automation and build production-grade AI, agentic workflows and intelligent financial operations.
- Design, build and deploy AI/agentic automation workflows across Payments.
- Automate high-value processes including reconciliations, audit & reporting, financial analytics, incident automation and least-cost routing.
- Develop solutions using Claude/Anthropic APIs, Java/Spring AI and Python.
- Build workflow automation using n8n or equivalent platforms.
- Work with MCP / multi-agent orchestration and integrate internal & external systems through APIs and data pipelines.
- Build solutions that are scalable, production-ready, auditable and compliant.
- Identify opportunities to reduce manual effort while maintaining human oversight and control integrity.
RequirementsWhat We’re Looking For
- Hands-on experience building and deploying production-grade AI / agentic solutions.
- Strong understanding of LLM orchestration, multi-agent systems and AI failure modes in high-stakes environments.
- Strong Java/Spring AI and/or Python experience.
- Experience with n8n or similar workflow automation tools.
- Experience working with AI APIs such as Anthropic/Claude or similar.
- Strong systems and architecture thinking across Discovery → Design → Build → Deploy → Optimise.
- Ability to bridge business, finance and engineering requirements.
- Experience in Finance, Payments or Real-Time Payments is highly advantageous.
- Comfortable working in fast-paced, ambiguous environments with a strong ownership and execution mindset.
If you're an AI Engineer who wants to build intelligent systems for the future of Payments, we want to hear from you!
Skills Required
- Hands-on experience building and deploying production-grade AI or agentic solutions
- Strong understanding of LLM orchestration, multi-agent systems, and AI failure modes in high-stakes environments
- Strong Java, Spring AI, and/or Python experience
- Experience with n8n or similar workflow automation tools
- Experience with AI APIs such as Anthropic or Claude
- Strong systems and architecture thinking across discovery, design, build, deployment, and optimization
- Ability to bridge business, finance, and engineering requirements
- Experience in finance, payments, or real-time payments
- Comfort working in fast-paced, ambiguous environments with strong ownership and execution
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The Company
What We Do
Sabenza IT is a niche recruitment company specializing in Information Technology, SAP, Finance, and Engineering roles, with over 23 years of experience.
