AI Workflow Engineer

🕒 Julho 1

🌐 Colômbia, Argentina, +2 outros países – Remoto

🇨🇴 Colômbia – Remoto 🇦🇷 Argentina – Remoto 🇨🇷 Costa Rica – Remoto 🇲🇽 México – Remoto

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🤖 Inteligência Artificial

🚫👨‍🎓 Sem graduação necessária

👻 Score fantasma 16%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Backblaze

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2007

🛍️ Comércio Eletrônico

🏢 Corporativo

💰 $5.000.000 Series A em 2012-07

Cloud Storage • eCommerce • Enterprise

A Backblaze é uma empresa de armazenamento em nuvem que oferece soluções de backup de dados escaláveis e seguras tanto para empresas quanto para indivíduos. Seu serviço B2 Cloud Storage oferece armazenamento de objetos compatível com S3, permitindo que os usuários protejam e gerenciem seus dados com preços transparentes. A Backblaze é especialista em serviços de backup automáticos e ilimitados para sistemas de computador, garantindo opções de proteção e recuperação de dados para os usuários, além de suportar a integração com aplicativos para funcionalidades aprimoradas.

Descrição

• Take scoped use cases from the Director, AI Enablement and build working solutions: prompt layers, automation flows, lightweight agents, RAG implementations, and API integrations that connect AI tools to the systems business teams already use • Build working prototypes quickly - the goal is to show a team what is possible in days, not weeks, then refine based on what actually lands • Translate a documented workflow assessment into a technical design, select the right tools for the job, and own the build through to a deployable solution • Maintain solution documentation that is clear enough for handoff, iteration, and audit - not just for engineers, but for the business owner who will live with it • Spend time inside the functions you are building for - Finance, HR, Legal, Marketing Ops, Customer Success, and others - understanding how the work actually flows before you redesign it • Run working sessions with team members to map current-state workflows, surface friction points, and identify where AI creates real leverage versus where it creates noise • Build credibility with non-technical stakeholders by showing them working solutions, not decks - and by being honest about what will and will not work • Support user acceptance testing and early adoption, troubleshooting issues close to launch and iterating based on real usage • Build demos and proof-of-concepts that help the Director, AI Enablement make the case for a use case - or disqualify it early before resources are committed • Contribute to vendor and tool evaluations with a builder's perspective: not just whether a tool claims to do something, but whether it actually works in the context of a specific workflow • Feed learnings from the build process back into the program - what worked, what did not, what should be standardized across functions • Work on tactical quick wins and longer-horizon strategic builds at the same time, switching contexts across active use cases as priorities shift

🎯 Requisitos

• 2-4 years of experience that includes meaningful time working inside a business-facing function - operations, finance, marketing, customer success, HR, or similar - not just in Engineering or IT • Hands-on experience building with AI tools: prompt engineering, automation platforms (Make, Zapier, n8n, or equivalent), API integrations, and at least working familiarity with RAG architectures and agent frameworks • Proven ability to take a messy real-world process, understand it from the inside, and build something that makes it faster or better - not just technically cleaner • Comfortable working with non-technical stakeholders: you can explain what you are building without jargon, gather requirements without a formal spec, and manage expectations when a prototype needs three more iterations • Strong enough with code or no-code tools to get solutions to a deployable state independently - you do not need an engineer to ship your work • Able to manage multiple active projects at different stages without dropping anything - a quick win in HR this week does not mean the Finance automation waits • Genuinely curious about how companies work: the org chart, the incentives, the handoffs, the bottlenecks. This is what separates a good AI builder from a great one in a business context.

🏖️ Benefícios

• We value being fair and good to our customers, partners, and employees. • Diversity, equity, and inclusion are at the core of our values. • We are committed to fostering a workforce where all employees feel a sense of belonging.