3 дня назад
Lead Engineer / Architect - Payments & AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Engineer / Architect - Payments & AI (Python/LLM): Designing and building AI agents that initiate, process, and complete end-to-end payment transactions across multiple markets with an accent on payment lifecycle modeling, agent orchestration, and secure system integration. Focus on defining architecture for transaction state management, tool and API invocation, exception recovery, deterministic payment logic, and successful transaction execution.
Location: Mumbai, India
Company
is a company focused on analytics and AI-driven business solutions.
What you will do
- Design and build AI agents that initiate, process, and complete end-to-end payment transactions across multiple markets.
- Translate payment requirements and transaction lifecycles into agent workflows, business rules, APIs, and system integrations.
- Define architecture for agent orchestration, transaction state management, tool and API invocation, retries, exception handling, and recovery.
- Integrate AI agents with payment platforms, gateways, transaction processing systems, APIs, and enterprise services.
- Implement security, authorization, auditability, observability, guardrails, and human-in-the-loop controls for agent-driven payment actions.
- Lead testing, design and code reviews, technical delivery, and engineering mentorship through successful transaction execution.
Requirements
- 10+ years of software engineering experience, including architecture and technical leadership.
- Strong hands-on Python development experience and experience building LLM/GenAI applications and AI agents.
- Strong understanding of payments, transaction processing, payment lifecycles, payment APIs, gateways, and transaction platforms.
- Experience with REST APIs, microservices, distributed systems, cloud platforms, enterprise integrations, and event-driven architectures.
- Experience with agent orchestration, tool or function calling, structured outputs, LLM integration, AI guardrails, evaluation, and observability.
- Experience with AWS, Azure, or GCP, and the ability to distinguish AI-driven decisioning from deterministic payment and business logic.
Nice to have
- Experience across multiple payment markets or regional payment ecosystems.
- Knowledge of payment authorization, clearing, settlement, reconciliation, fraud and risk, disputes, or exception management.
- Experience with Kafka or other event-streaming technologies.
- Experience designing configurable architectures for market-specific payment variations.
- Experience with LangGraph, LangChain, CrewAI, or equivalent agent frameworks.
Culture & Benefits
- Hands-on architecture and engineering ownership from requirements through transaction execution.
- Work focused on AI-driven payment solutions and multi-market transaction processing.
- Technical leadership through design reviews, code reviews, debugging, integration, and mentoring.
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