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.