AI Workflow Engineer

🕒 July 1

🌐 Colombia, Argentina, +2 more countries – Remote

🇨🇴 Colombia – Remote 🇦🇷 Argentina – Remote 🇨🇷 Costa Rica – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Artificial Intelligence

🚫👨‍🎓 No degree required

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Backblaze

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2007

🛍️ eCommerce

🏢 Enterprise

💰 $5M Series A on 2012-07

Cloud Storage • eCommerce • Enterprise

Backblaze is a cloud storage company that provides scalable and secure data backup solutions for both businesses and individuals. Their B2 Cloud Storage service offers S3 compatible object storage, allowing users to easily protect and manage their data with transparent pricing. Backblaze specializes in automatic and unlimited backup services for computer systems, ensuring data protection and recovery options for users, while also supporting integration with applications for enhanced functionality.

📋 Description

• 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

🎯 Requirements

• 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.

🏖️ Benefits

• 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.