Architecture Lead (AI Agent)
Most applications go out cold — see where you stand first. No sign-up to start.
Don't just apply. Show up ready.
Olive works from this exact posting — no sign-up to start.
At a glance
Job overview
RedotPay seeks an Architecture Lead to design and deliver a global AI customer‑service agent that integrates LLMs with Web3 payment flows. The role involves planning multi‑agent systems, building a crypto‑payments knowledge base, establishing data‑driven evaluation, and coordinating cross‑team API integration to launch multilingual support across hundreds of regions.
Skills & qualifications
Skills
Qualifications
Full job description
About RedotPay RedotPay is a global crypto payment fintech integrating blockchain solutions into traditional banking and finance infrastructure. Our user-friendly crypto platform empowers millions globally to spend and send crypto assets, ensuring faster, more accessible, and inclusive financial services. RedotPay advances financial inclusion for the unbanked and supports crypto enthusiasts, driving the global adoption of secure and flexible crypto-powered financial solutions. Join us in shaping the future of finance and making a meaningful impact on a global scale.
Job Responsibilities Agent Architecture Planning & Encrypted-Payment Technology Delivery
- Lead the overall planning and architecture design for RedotPay’s global customer-service AI Agent (intelligent customer support / AI assistant), and develop a technical roadmap for intelligent customer service.
- Combine LLMs with Web3 / crypto payment business flows to design efficient Agent workflows.
- Design multi-agent collaboration mechanisms and human-in-the-loop (HITL) hybrid architectures for customer support.
Prompt Engineering & Web3 Knowledge Base (RAG) Building
- Precisely design and continuously fine-tune the system prompt and guardrails to ensure the Agent provides high-accuracy, compliant, and on-brand responses in the financial / crypto-assets domain.
- Lead the building of a RAG-based crypto payments knowledge base, integrating crypto knowledge, fiat on/off-ramp rules, and card scheme/compliance policies to effectively reduce LLM hallucinations.
Data-Driven Operations & Iteration for High-Frequency Customer Inquiries
- Set up a data-driven evaluation framework for global crypto users, including metrics such as:
- Use data tagging/analytics and log analysis to identify business pain points.
- Continuously iterate on the model, prompts, and knowledge base via real-time data and user feedback to improve the Agent’s ability to handle complex long-tail issues (e.g., transaction delays, card declines/declines, on-chain status queries).
Cross-Team Collaboration & Web3/Payment API Integration
- Act as the bridge between business and technology, responsible for defining technical requirements for APIs / tool use / function calling
- Coordinate with Hong Kong and global teams to roll out multi-language AI customer service across 100+ countries/regions, including standard-setting.
Requirements
- Bachelor’s degree or above (preferred in Computer Science, AI, FinTech, Data Science, etc.).
- 3+ years of hands-on experience in intelligent customer service / AI products / Agent building and operations in Fintech/Web3 or global payment fields
- Good to have deep understanding of core crypto payment processes and user pain points
- Deep understanding of LLMs (e.g., GPT-4, Claude, open-source models) including their limitations; proficient with Agent frameworks (e.g., LangChain, LlamaIndex, Coze/Dify), RAG architecture, and Function Calling / Tool Use solution design.
- Strong data analysis skills; experience with SQL / Python for data mining and model/prompt tuning is preferred.
- Familiar with API design, vector databases, and integrations/customizations with mainstream customer service ecosystems
- Fluent in English and Chinese
- High sensitivity and enthusiasm for Web3 / crypto-finance and AI frontier technologies.
You've read the whole posting — now see how you match it.