{"id":888269,"url":"https://alion.io/job/recruitis-senior-ai-payment-agent-engineer","title":"Senior AI Payment Agent Engineer","company":{"id":688309,"name":"Recruitis","domain":"recruitis.io","url":"https://alion.io/company/recruitis","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":52,"open_postings":10,"ghost_share":0.8,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-05T05:54:30Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":130000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":28},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Function Calling","optional":false},{"name":"Gemini","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"JavaScript","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-06-30T08:48:36Z","employer_posted_date":"2026-07-13","last_verified_at":"2026-11-05T18:35:38Z","board_verified":true,"closed_at":null,"days_open":128,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":127},"description":"Our Client\nOur client is an established global fintech organisation helping banks and financial institutions modernise their platforms and connect to blockchain-based payments and settlement.\nThis 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.\nIn this role, you will:\nBuild 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.\nArchitect 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.\nStandardise 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.\nEnsure compliance and reliability: Apply guardrails, budget caps, approval pipelines, and cryptographic signatures so autonomous transactions stay deterministic, auditable, and regulation-compliant.\nMaintain production stability: Optimise system performance, capacity, and security, resolve critical incidents, and maintain 24/7 uninterrupted service.\nYou'll be a great fit if you have:\nBachelor's degree or above in Computer Science, Software Engineering, AI, or a related field.\n3+ years building backend architectures and distributed systems, with hands-on experience developing LLMs and AI agents.\nStrong backend development skills in Go or Java, with proficiency in Python or TypeScript/Node.js.\nDeep expertise in microservices, distributed transactions, message queues, caching, and database sharding.\nPractical experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, or AutoGen.\nFamiliarity with RESTful APIs, OpenAPI specs, and function calling for GPT, Claude, and Gemini.\nA track record of taking AI products from prototype to production, including prompt evaluation, tracing, and latency optimization.\nFluent English for reviewing technical documentation and daily collaboration.\nNice to have:\nDeep knowledge of the x402 protocol and machine-to-machine payment architecture.\nExperience launching Digital FTE or AI workforce platforms.\nFamiliarity with Panaversity Agentic AI technologies (OpenWork, Cowork, OpenClaw, Loop Engineering).\nHands-on experience with cloud AI infrastructure such as AWS Bedrock AgentCore or Google Vertex 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