AI Workflow Engineer | LATAM

Backblaze; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Backblaze is seeking a hands-on AI & Automation Engineer to join our AI Transformation Office. You will prototype, build, and ship AI-powered workflow solutions deployed to business teams outside engineering and GTM functions.

Ideal candidates combine business-facing experience with deep AI and automation skills, and are based in the LATAM region. You'll work with Finance, HR, Legal, Marketing Ops, and Customer Success to map workflows, build demos, and deliver deployable solutions that unlock

Qualifications

• Background in a business-facing role with AI and automation skills.
• Hands-on experience with AI tools, including prompt engineering and automation platforms (Make, Zapier, n8n) and API integrations.
• Proven ability to ship improvements from messy real-world processes.
• Comfortable explaining builds to non-technical stakeholders.
• Able to ship deployable solutions with little to no engineer support.
• Able to manage multiple projects across stages.

Responsibilities

• Take scoped use cases and build working solutions including prompt layers, automation flows, lightweight agents, retrieval-augmented generation implementations, and API integrations
• Build working prototypes quickly so business teams can see what is possible in days rather than weeks, then iterate based on real feedback
• Translate documented workflow assessments into technical designs, select appropriate tools, and own builds through to deployable solutions
• Maintain documentation clear enough for handoff, iteration, and audit by both engineers and the business owners who will live with the solution
• Embed inside functions such as Finance, HR, Legal, Marketing Operations, and Customer Success to map current-state workflows and identify where AI creates real leverage
• Build demos and proof-of-concepts that help qualify or disqualify use cases early, and contribute a builder's perspective to vendor and tool evaluations

Skills

AI & automation

Prompt engineering

No-code tools

API integrations

Tools

Make

Zapier

n8n

APIs

Job description

Role overview

This role sits inside a company-wide AI transformation program as the hands-on builder within the AI Program Office. Working alongside senior AI enablement leadership, the engineer prototypes, builds, and ships AI-powered workflow solutions that are deployed into business teams outside of engineering and go-to-market functions. It is ideal for someone who started in a business-facing role and layered on serious AI and automation skills, and is based in the LATAM region.

Responsibilities

• Take scoped use cases and build working solutions including prompt layers, automation flows, lightweight agents, retrieval-augmented generation implementations, and API integrations
• Build working prototypes quickly so business teams can see what is possible in days rather than weeks, then iterate based on real feedback
• Translate documented workflow assessments into technical designs, select appropriate tools, and own builds through to deployable solutions
• Maintain documentation clear enough for handoff, iteration, and audit by both engineers and the business owners who will live with the solution
• Embed inside functions such as Finance, HR, Legal, Marketing Operations, and Customer Success to map current-state workflows and identify where AI creates real leverage
• Build demos and proof-of-concepts that help qualify or disqualify use cases early, and contribute a builder's perspective to vendor and tool evaluations

Requirements

• Background starting in a business-facing role such as finance, operations, marketing, customer success, or HR, with serious hands-on AI and automation skills layered on top
• Hands-on experience building with AI tools, including prompt engineering, automation platforms such as Make, Zapier, n8n, or equivalents, API integrations, and working familiarity with retrieval-augmented generation architectures and agent frameworks
• Demonstrated success taking a messy real-world process and shipping something that makes it faster or better, not just technically cleaner
• Comfortable working with non-technical stakeholders, explaining builds without jargon and gathering requirements without a formal spec
• Strong enough with code or no-code tools to ship solutions to a deployable state independently without needing an engineer
• Ability to manage multiple active projects at different stages simultaneously and switch between tactical quick wins and longer-horizon strategic builds

Nice to have

• Direct experience working in or closely with general and administrative, finance, legal, marketing operations, or customer success teams
• Familiarity with AI governance basics such as data handling, personally identifiable information awareness, and when a security or privacy review is required
• Experience working in a small program or startup environment wearing multiple hats with limited process overhead
• Background in cloud infrastructure, SaaS, or storage companies
• A portfolio, GitHub, or examples of AI workflows or automations previously built