Senior AI Payment Agent Engineer

Job description

**Our Client** Our client is an established global fintech organisation helping banks and financial institutions modernise their platforms and connect to blockchain-based payments and settlement. This position focuses on building the technical foundation for payment-capable AI agents. You will design and own the systems that unify LLMs, agent orchestration frameworks, legacy payment rails, and blockchain infrastructure, supporting autonomous machine-to-machine payments, self-pay API access, and automated cross-border financial workflows as the company scales its AI workforce products for commercial use. **In this role, you will:** - **Build AI agents:** Design and deploy production-ready autonomous AI agents and Digital FTEs with reasoning, planning, and multi-step workflow capabilities, optimizing multi-agent collaboration with frameworks such as LangGraph, CrewAI, AutoGen, or OpenClaw. - **Architect payment systems:** Own end-to-end architecture for AI payments, cross-border acquiring, clearing, and hybrid on-chain/off-chain settlement, integrating payment gateways and Web3 stacks, including stablecoin settlement and the x402 protocol. - **Standardise agent payment frameworks:** Establish reusable frameworks, plugins, and toolkits for agent invocation, transaction execution, permission governance, and error fallback logic across multi-agent payment scenarios. - **Ensure compliance and reliability:** Apply guardrails, budget caps, approval pipelines, and cryptographic signatures so autonomous transactions stay deterministic, auditable, and regulation-compliant. - **Maintain production stability:** Optimise system performance, capacity, and security, resolve critical incidents, and maintain 24/7 uninterrupted service. **You'll be a great fit if you have:** - Bachelor's degree or above in Computer Science, Software Engineering, AI, or a related field. - 3+ years building backend architectures and distributed systems, with hands-on experience developing LLMs and AI agents. - Strong backend development skills in **Go or Java**, with proficiency in Python or TypeScript/Node.js. - Deep expertise in microservices, distributed transactions, message queues, caching, and database sharding. - Practical experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, or AutoGen. - Familiarity with RESTful APIs, OpenAPI specs, and function calling for GPT, Claude, and Gemini. - A track record of taking AI products from prototype to production, including prompt evaluation, tracing, and latency optimization. - Fluent English for reviewing technical documentation and daily collaboration. **Nice to have:** - Deep knowledge of the x402 protocol and machine-to-machine payment architecture. - Experience launching Digital FTE or AI workforce platforms. - Familiarity with Panaversity Agentic AI technologies (OpenWork, Cowork, OpenClaw, Loop Engineering). - Hands-on experience with cloud AI infrastructure such as AWS Bedrock AgentCore or Google Vertex AI.