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Senior, niche payments+AI role reduces applicant density despite notable company brand.
Requires combined payments domain knowledge and ML/agent expertise, limiting cross-industry transferability.
Explicit 10+ years, mandatory payments and LLM experience, and architecture leadership implies strict filters.
Design and build AI-driven payment agents that can initiate, process, and complete end-to-end payment transactions across multiple markets.
Own the complete technical solution lifecycle from requirements, architecture, agent development, payment platform integration, testing to transaction execution.
Lead technical leadership activities including design/code reviews and mentorship while ensuring security, authorization, auditability, and observability for AI-driven payment actions.
10+ years of software engineering experience including architecture and technical leadership.
Strong hands-on Python development experience and proven experience building LLM/GenAI applications and AI agents.
Deep understanding of payments and transaction processing lifecycle, including experience with payment APIs, gateways, and transaction processing systems.
Experience with REST APIs, microservices, distributed systems, cloud platforms (AWS, Azure, or GCP), and AI agent frameworks like LangChain or equivalent.
Expertise in designing configurable, enterprise-level AI and payment solutions accommodating multiple regional payment variations and ecosystems.
Experience leading hands-on architecture and engineering efforts, integrating AI-driven decisioning with deterministic payment logic in complex, event-driven environments.
Strong capability in AI agent orchestration, implementing guardrails, observability, and human-in-the-loop controls, alongside deep domain knowledge of payments authorization, clearing, settlement, and exception handling.