AI Engineer
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Jeeves 是面向全球企业的稳定币原生银行平台。来自 35 个国家的数千家公司在同一个平台上运行其企业卡、支付、资金管理和支出,年化交易量超过 50 亿美元,付款覆盖 190 个国家,并运营着全球增长最快的稳定币支付网络之一。BMW、H M、Lululemon、Burger King、Kavak 和 XP 都在其中,超过 80% 的客户……
职位描述 · 原文
Jeeves is the stablecoin-native banking platform for global enterprises. Thousands of companies across 35 countries run their corporate cards, payments, treasury and spend on one platform, with more than $5B in annualized volume, payouts to 190 countries, and one of the fastest-growing stablecoin payment networks in the world. BMW, H M, Lululemon, Burger King, Kavak and XP are among them, and more than 80% of customers use multiple Jeeves products. We chose hard problems on purpose. We hire for one thing: relentlessness. A strong motor that keeps going when the problem has no playbook. You'll know in your first week if Jeeves is right for you. For the right people, it's the steepest learning curve of your career. Jeeves has raised more than $400 million in equity funding from Andreessen Horowitz, Y Combinator, CRV, Coinbase Ventures, GIC, AllianceBernstein, CoinFund and others. If you want to rebuild how money moves across borders, come build it with us. Finance teams still spend most of their week on manual work: reading invoices and receipts, matching transactions, checking spend against policy, chasing approvals, and closing the books across several countries and currencies. AI can now do much of that work reliably, and Jeeves is building it into the core of our platform. That only matters if it works in production, with real money, for real customers. As an AI Engineer at Jeeves , you will own whole workflows from end to end, not individual features. For example, you might own everything that happens between an invoice arriving and a payment going out: document extraction, matching, policy checks, approval routing, posting to the customer's ERP, and the evaluation and monitoring that tell us it's working. You'll decide how to build it, ship it, measure it, and keep improving it. You'll work closely with Product, Backend Engineering, and our customers' finance teams, but you won't wait for someone to hand you a spec. This is a senior, hands-on role for people who are AI-native in how they work. You use coding agents and AI tools every day to move faster, and you know where they fall short. It isn't a research role, and it isn't a role for someone who wants a narrow, well-defined ticket queue. Location: This role is remote or hybrid based out of Bogotá, Colombia, and is a full-time remote position where it is also possible to come into our office in the Parque de la 93 area on a flexible schedule. What You'll Do: Own AI Workflows End to End Take a finance workflow (for example invoice-to-payment, expense review, or transaction reconciliation) and own it from problem definition through production and ongoing improvement Design agentic and LLM-based systems that combine extraction, retrieval, reasoning, and tool use to complete multi-step work, with clear human-in-the-loop points for high-value financial decisions Write the design docs, make the build-vs-buy and model choices, and set the success metrics for each workflow you own Talk directly with customers and internal finance users to understand where the workflow breaks today and what "done" looks like Build Reliable AI in Production Build production-grade LLM pipelines: prompt and context design, structured outputs, validation, fallbacks, and confidence scoring Design retrieval and RAG components (chunking, embeddings, vector search, re-ranking) where a workflow needs grounding in customer documents or policies Integrate AI services cleanly with Jeeves 's backend: clear API contracts, retries, graceful degradation, and per-customer data isolation Manage cost and latency across models, choosing the right model for each step Measure, Monitor, and Improve Build evaluation sets and automated evals for every workflow you own, and use them to catch regressions when prompts, models, or data change Instrument AI components with logging, tracing, dashboards, and alerts so you know when quality drops before a customer does Keep an audit trail of AI decisions that meets the standard
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