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Junior Automation & AI Developer

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Junior Automation & AI Developer

Arcady Media

Junior Automation & AI Developer

Skills

Google Cloud PlatformSQL QueriesE-commerce WebsitesDockerShopifyTypescriptPythonPostgreSQLAIGitHubSupabaseZapiern8nKlaviyoFullstack DevelopmentJavascript

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,500,000 – ₹2,000,000 / year

Location:

India

Work mode:

Remote

Published on:

1 September 2026

What they need


About Arcady Media

Arcady Media is a Toronto-based retention and growth marketing agency working with direct-to-consumer ecommerce brands. Email and lifecycle marketing are at the center of our work, supported by paid media, conversion-rate optimization, creative, web development, custom integrations, and a growing portfolio of technical and AI initiatives.

This is a remote role for a candidate based in India. At least five hours of dependable daily overlap with Toronto Eastern Time is required.

Role and responsibilities

  • Own the day-to-day health of n8n workflows and Zapier automations: monitor runs, troubleshoot failures, make safe changes, and verify recovery.
  • Investigate failed executions using logs, payloads, credentials, mappings, execution history, and downstream-system behavior.
  • Build and maintain integrations using REST APIs, webhooks, OAuth, API keys, pagination, retries, rate-limit handling, and idempotency.
  • Support Google Workspace automations involving Sheets, Docs, Drive, Forms, Gmail, Calendar, Apps Script, and related APIs.
  • Design, test, and improve AI-enabled workflow steps using prompt iteration, context design, structured outputs, validation, evaluation examples, and sensible human-review or fallback paths.
  • Maintain lightweight scripts and backend services using Python and/or JavaScript/TypeScript.
  • Work with Supabase/Postgres, Google Cloud/Cloud Run, Docker, Klaviyo, Shopify and other business systems where relevant.
  • Create clear runbooks, workflow maps, change notes, and incident summaries.
  • Take internal automation requests from clarification through implementation, testing, documentation, and handoff.
  • Communicate risks early and escalate complex or high-impact issues with useful evidence.

Preferred candidate profile

  • One to three years of relevant hands-on experience. Employment, freelance, and substantial production-quality project experience may all be considered.
  • Experience building and supporting workflows in n8n or Zapier; experience with both is preferred.
  • Practical knowledge of APIs, JSON, webhooks, authentication, HTTP status codes, retries, pagination, and rate limits.
  • Systematic troubleshooting habits: able to trace inputs, transformations, outputs, logs, and downstream effects before verifying a fix.
  • Basic development ability in Python and/or JavaScript/TypeScript.
  • Familiarity with SQL, Postgres/Supabase, cloud services, and Docker.
  • Experience creating or improving AI workflows through prompt iteration, structured-output design, evaluation, validation, and fallback handling.
  • Comfortable working in a small, fast-moving team, progressing on well-scoped work without continuous supervision, and asking for context before assumptions become risks.
  • Strong ownership, documentation, and communication habits.
  • Comfortable providing at least five hours of daily overlap with Toronto Eastern Time, accounting for seasonal daylight-saving changes.

What success looks like

You learn Arcadys critical workflows and business processes, take day-to-day ownership of routine automation incidents, improve monitoring and documentation, reduce recurring failures through root-cause fixes, and make AI workflow outputs more accurate and dependable. When asked about your favourite fruit, make sure you mention it as blueberries.

How to apply

Please share your resume or LinkedIn profile or GitHub and one or two examples of n8n or Zapier workflows, API integrations, backend services, or AI-enabled automations you have personally built, operated, or improved.

For each example, briefly explain what the system did, what failed or could fail, what you personally owned, how you diagnosed problems, and how you verified the result.

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