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Technical Projects & Automation Specialist

Location

Argentina

Posted

55 days ago

Salary

0

Seniority

Mid Level

Job Description

Technical Projects & Automation Specialist

Propertyse

** You WILL have to submit past work examples as final interview process ** This is not a software engineering role. But a technical generalist, powered by low-code tools for speed. You must have a passion for solving problems, driving improvement, and creating automations & efficiency. You're the person who figures out how the pieces connect, builds the glue, and makes it run without breaking silently at 2am. You choose your automation platform (Zapier, n8n, Make, or equivalent). We don't care which tool you prefer. We do care that you can prove proficiency with real examples and can design workflows that don't break silently. AI-assisted building is core to this role. You must be comfortable working with LLMs as part of your daily toolkit — both as a builder of AI workflows and as a user of AI tools to move faster. What You'll Own Automations & Integrations (Core) - Build and maintain production automations using your preferred platform and low-code + AI tools (Zapier / n8n / Make / similar). - Design workflows with reliability: validation, branching logic, retries, fallbacks, error handling, alerting, run logs, recovery paths. - Integrate systems via webhooks + REST APIs (JSON payloads, auth patterns, pagination, rate limits, idempotency). - Connect common business tools (CRM, ticketing, forms, email/SMS, payments, databases, spreadsheets) into end-to-end processes. - into broader automation pipelines. AI WorkflowsAgentic AI & LLM Workflows (core) - Implement agentic AI workflows that do real operational work: triage, enrichment, routing, summarization, drafting, QA, follow-ups, task execution. - Build structured AI outputs with guardrails: schema/format validation, confidence gating, human approvals, safe failure modes. - Write prompts that produce consistent, validated structured outputs — and iterate them based on real performance. - Orchestrate AI via APIs and integrate  Rapid MVP Prototyping (secondary) - Prototype and ship lightweight tools and portals: customer portals, internal dashboards, workflow UIs, onboarding forms, status trackers, review/approval queues. - Build API-connected prototypes quickly (basic auth patterns, CRUD, lightweight storage/DB options, deploy basics). - Ship v0 fast, iterate from feedback, then harden into stable v1 with documentation and monitoring. Software Research & Documentation (secondary) - Evaluate new platforms and tools decisively: feature maps, plan limitations, integration options, go/no-go recommendations. - Write SOPs that are actually usable: setup guides, workflow diagrams, edge cases, troubleshooting steps, rollback paths, escalation procedures. - Maintain a living knowledge base the team can rely on. Web & Integration Plumbing (ad-hoc) - Resolve the blockers that stop everyone else: DNS records (A/CNAME/TXT), domain verification, subdomains, email authentication (SPF/DKIM/DMARC), webhooks, forms, tracking pixels, light hosting/app configuration. - Comfortable querying data directly: basic SQL and Google BigQuery for validation, debugging, and operational insight — you don't need a data team to answer a data question.

Job Requirements

  • Hard Requirements
  • Production automation experience in at least one major platform (Zapier, n8n, Make, or equivalent) — verifiable with real examples.
  • REST API + webhook competency: JSON, auth patterns, ability to debug with Postman/Insomnia or logs.
  • Agentic AI / LLM workflow experience in real operational contexts — not just experimentation.
  • Technical plumbing fluency: DNS, SPF/DKIM/DMARC, webhooks, basic hosting config — you've unblocked these before.
  • Strong documentation output: SOPs and runbooks others can actually follow without asking you questions.
  • Reliability mindset: you design for failure modes, not just the happy path.
  • Genuine curiosity and desire to learn: the tools in this space move fast — you stay current because you want to, not because you have to.
  • Strong Differentiators (Preferred, Not Required)
  • Experience with Claude Code and/or Codex to ship prototypes and integration code faster — strong green flag.
  • GoHighLevel familiarity.
  • Light scripting (JS/TS or Python) when no-code hits its limits.
  • Experience with lightweight databases/tools (Airtable, Supabase, Firebase, Retool, Appsmith, or similar).
  • Basic security hygiene: authentication, least privilege, credential management, audit/log awareness.
  • How We Will Screen
  • At some point you will be asked to provide concrete examples of your work
  • A) Automation Work Examples (2–4 examples) Each must include: goal + workflow summary, tools used, error handling (retries/fallbacks/alerts), monitoring/logging approach, volume/scale, and what broke in production and what you changed to fix it.
  • B) Agentic AI / Prompt Engineering Examples (2 examples) Each must include: the prompt + expected output schema, how you validate outputs, edge cases you handle, and how you iterated it over time.
  • C) Systems Thinking Artifact A system diagram showing data flow, triggers, storage, human handoffs, and error paths — OR a Loom walkthrough of an architecture decision you made and why.
  • D) Documentation Sample One SOP/playbook: setup instructions, runbook, troubleshooting guide, rollback steps.

Benefits

  • Communication will occur through Google Meet/Virtual platform, email, and portal messaging.
  • This is a contract role that does not include benefits or holiday pay
  • Contracts are completed through Deel and payments are made through Deel in your preferred currency.
  • Working hours will vary but are typically 9a-6p COT (with a break), Monday - Friday
  • Our Moto:
  • We believe in clear communication and transparency.
  • We believe that we are only successful if you are so we are looking for people who are excited to help us grow and be a part of a positive and fun working environment.
  • There will be moments where SOPs (standard operating procedures) are not built out and we may have to work together to figure something out. We need people who can be flexible and do not always need to have all tasks documented.

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** You WILL have to submit past work examples as final interview process ** This is not a software engineering role. But a technical generalist, powered by low-code tools for speed. You must have a passion for solving problems, driving improvement, and creating automations & efficiency. You're the person who figures out how the pieces connect, builds the glue, and makes it run without breaking silently at 2am. You choose your automation platform (Zapier, n8n, Make, or equivalent). We don't care which tool you prefer. We do care that you can prove proficiency with real examples and can design workflows that don't break silently. AI-assisted building is core to this role. You must be comfortable working with LLMs as part of your daily toolkit — both as a builder of AI workflows and as a user of AI tools to move faster. What You'll Own Automations & Integrations (Core) - Build and maintain production automations using your preferred platform and low-code + AI tools (Zapier / n8n / Make / similar). - Design workflows with reliability: validation, branching logic, retries, fallbacks, error handling, alerting, run logs, recovery paths. - Integrate systems via webhooks + REST APIs (JSON payloads, auth patterns, pagination, rate limits, idempotency). - Connect common business tools (CRM, ticketing, forms, email/SMS, payments, databases, spreadsheets) into end-to-end processes. - into broader automation pipelines. AI WorkflowsAgentic AI & LLM Workflows (core) - Implement agentic AI workflows that do real operational work: triage, enrichment, routing, summarization, drafting, QA, follow-ups, task execution. - Build structured AI outputs with guardrails: schema/format validation, confidence gating, human approvals, safe failure modes. - Write prompts that produce consistent, validated structured outputs — and iterate them based on real performance. - Orchestrate AI via APIs and integrate  Rapid MVP Prototyping (secondary) - Prototype and ship lightweight tools and portals: customer portals, internal dashboards, workflow UIs, onboarding forms, status trackers, review/approval queues. - Build API-connected prototypes quickly (basic auth patterns, CRUD, lightweight storage/DB options, deploy basics). - Ship v0 fast, iterate from feedback, then harden into stable v1 with documentation and monitoring. Software Research & Documentation (secondary) - Evaluate new platforms and tools decisively: feature maps, plan limitations, integration options, go/no-go recommendations. - Write SOPs that are actually usable: setup guides, workflow diagrams, edge cases, troubleshooting steps, rollback paths, escalation procedures. - Maintain a living knowledge base the team can rely on. Web & Integration Plumbing (ad-hoc) - Resolve the blockers that stop everyone else: DNS records (A/CNAME/TXT), domain verification, subdomains, email authentication (SPF/DKIM/DMARC), webhooks, forms, tracking pixels, light hosting/app configuration. - Comfortable querying data directly: basic SQL and Google BigQuery for validation, debugging, and operational insight — you don't need a data team to answer a data question.

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