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Role Overview:

We are looking for a hands-on Lead Engineer / Architect with strong payments, transaction processing, and AI/agent engineering experience to design and build AI-driven solutions capable of executing end-to-end transactions across multiple markets.

The role will own the technical solution from requirements and architecture through agent development, payment integration, testing, and successful transaction execution.

Key Responsibilities:

• Design and build AI agents capable of initiating, processing, and completing end-to-end payment transactions.
• Understand the payment transaction lifecycle and translate payment requirements into agent workflows, business rules, APIs, and system integrations.
• Analyze market-specific payment requirements and variations and design configurable, reusable solutions.
• Define architecture for agent orchestration, transaction state management, tool/API invocation, exception handling, retries, and recovery.
• Integrate agents with payment platforms, gateways, transaction processing systems, APIs, and enterprise services.
• Define appropriate boundaries between AI-driven decisioning and deterministic payment/business logic.
• Develop primarily using Python, LLMs, and appropriate agent frameworks.
• Implement security, authorization, auditability, observability, and guardrails around agent-driven payment actions.
• Lead end-to-end testing and demonstrate successful transaction execution for each target market.
• Provide hands-on technical leadership, conduct design/code reviews, and mentor engineers.

Required Experience:

• 10+ years of software engineering experience, including architecture and technical leadership.
• Strong hands-on Python development experience.
• Proven experience designing and building LLM/GenAI applications and AI agents.
• Strong understanding of payments and transaction processing.
• Experience with payment APIs, gateways, transaction processing platforms, or payment services.
• Strong understanding of payment lifecycle concepts such as transaction initiation, authorization, processing, transaction status, exceptions, and completion.
• Strong experience with REST APIs, microservices, distributed systems, and cloud platforms.
• Experience designing enterprise integrations and event-driven architectures.
• Experience with AWS, Azure, or GCP.

AI / Agent Experience:

• Experience building AI agents and agent-based workflows.
• Experience with agent orchestration, tool/function calling, structured outputs, and LLM integration.
• Experience with frameworks such as LangGraph, LangChain, CrewAI, or equivalent.
• Experience implementing AI guardrails, evaluation, observability, and human-in-the-loop controls.
• Ability to determine where AI should be used versus deterministic rules within payment workflows.

Preferred Experience:

• Experience across multiple payment markets or regional payment ecosystems.
• Knowledge of payment authorization, clearing, settlement, reconciliation, fraud/risk, disputes, or exception management.
• Experience with Kafka or other event-streaming technologies.
• Experience designing configurable architectures supporting market-specific payment variations.

Success Criteria:

The successful candidate will be able to take a payment transaction requirement, design the agent and supporting architecture, build the solution, integrate with the required payment systems, and demonstrate a successfully completed transaction for each designated market.

This is a hands-on architecture and engineering role. The candidate must be comfortable coding, debugging, integrating payment systems, and owning the end-to-end technical solution.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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