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Niche senior role combining payments and AI reduces candidate pool despite metro location.
Strong payments domain and agent-specific AI requirements reduce cross-industry transferability.
Explicit 10+ years, mandatory payments and LLM/agent expertise, and cloud/tech stack requirements.
Own end-to-end design, development, integration, and execution of AI-driven payment transaction solutions across multiple markets.
Develop and architect agent workflows, APIs, and systems for payment lifecycle management including orchestration, exception handling, retries, and recovery.
Lead technical efforts including coding in Python, integrating with payment gateways/APIs, conducting testing, and mentoring engineering teams.
10+ years of software engineering experience with architecture and technical leadership.
Strong hands-on Python development and experience building LLM/GenAI applications and AI agents.
Deep understanding of payments and transaction processing lifecycle, including experience with payment APIs, gateways, and transaction platforms.
Experience with REST APIs, microservices, distributed/cloud systems (AWS/Azure/GCP).
Experienced in building agent-based AI workflows integrating with complex payment systems across multiple markets or regions.
Hands-on engineer comfortable with full-stack ownership from design through production deployment and testing.
Skilled in balancing AI-driven decisioning with deterministic business/payment logic, including implementing AI guardrails and observability controls.