Lead AI Engineer

🕒 Maio 6

🇲🇽 México – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 35%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Coupa Software

Coupa Software

1001 - 5000 funcionários

Fundada em 2006

💼 Consultoria

📦 Logística

🏥 Saúde

Consulting • Logistics • Healthcare

A Coupa Software é uma fornecedora líder de soluções de gestão de gastos corporativos (Business Spend Management — BSM). Sua plataforma foca em otimizar e transformar os gastos diretos e indiretos em Procurement (Compras), Finanças, Cadeia de Suprimentos e TI. A Coupa utiliza inteligência artificial (IA) e insights de dados em larga escala para impulsionar eficiências de custos, gerenciar relacionamentos com fornecedores e mitigar riscos. Com produtos que abrangem áreas como faturamento, pagamentos, gestão de despesas e colaboração na cadeia de suprimentos, a Coupa atende a uma ampla gama de setores, incluindo automotivo, saúde, varejo e outros. Sua comunidade e seu ecossistema de parceiros abrangentes permitem que as organizações descubram economias ocultas e melhorem a conformidade (compliance), promovendo crescimento e resiliência em um cenário econômico em constante mudança.

Descrição

• Build and extend the eval pipeline: how we measure task completion, catch regressions, and turn production failures into fixed behaviors. • Work on context management: what the agent sees, when, and how we keep long-horizon tasks coherent without burning tokens. • Design sub-agent patterns: when to fan out, how to compose specialized agents cleanly, and how to keep the parent agent in control of the outcome. • Own document parsing: turning supplier-uploaded invoices, catalogs, and contracts into structured context the agent can reason over. • Wrap Coupa supplier APIs as agent-callable CLI tools, with clean error surfaces and sensible defaults for an agent caller. • Ship supplier-facing skills on top of the harness: the procedural instructions and tool compositions that let the agent handle specific tasks end-to-end. • Debug messy production behavior: why did the agent take that path, where did it get confused, and what tool, context, or harness change fixes it? • Partner with the senior engineer on harness architecture calls as you find gaps while working across the stack.

🎯 Requisitos

• Have 3–5 years shipping production software and are strong in Python (TypeScript a plus). • Have shipped at least one LLM-powered feature or product, even if small, and can talk about what went wrong and what you'd do differently. • Are a daily, heavy user of agentic coding tools — Claude Code, Cursor, Codex, or equivalents. • Have side projects. Real ones. Things you've built because you couldn't stop thinking about them. Ideally things the new generation of AI tools made possible for you to finish. • Write and speak English fluently. Skill authoring is prose-heavy and the team operates in English. • Debug by reading, not by guessing. You reach for logs, traces, and evals before theorizing.

🏖️ Benefícios

• Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend. • Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence. • Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.

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