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AI Engineer

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Remote

AI Engineer

Doxa

AI Engineer

Skills

SQL QueriesTypescriptPythonC#Testing & QAAISupabaseNo-code AutomationsZapierNotionAirtableMaken8nCRMSalesforceHubspotMicrosoft Power PlatformJavascript

1 month ago

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Important information


Contract type:

Permanent

Location:

Philippines

Work mode:

Remote

Published on:

16 September 2026

What they need


Our Company

At DOXA, we are dedicated to connecting businesses with top-tier talent across various industries. Our mission is to deliver innovative solutions that drive exceptional outsourcing services, enabling companies to expand their teams and grow their operations seamlessly.

What sets DOXA apart is our commitment to fostering a vibrant and supportive team culture. Join us and be part of a culture that prioritizes your happiness and well-being, ensuring you thrive both personally and professionally.

The Role:

We’re seeking an AI Automation Engineer to join our growing team. This role is designed for a technically skilled professional who enjoys transforming business workflows into practical, production-ready AI applications, agents, automations, and integrations.

You’ll play a key role in building intelligent systems that eliminate manual work, improve business processes, and help our clients scale. You’ll work closely with internal stakeholders and process owners to understand workflows, develop technical solutions, and continuously improve deployed systems.

Location: Colombia or the Philippines – Remote.

Environment: International Teams.

Language: Advanced English (B2+ - C1).

Timezone: Monday to Friday – 8:00 AM to 5:00 PM PST during the initial 30–60 days for onboarding and training. After this period, the schedule will transition to a split shift starting at 2:00 PM PT or another schedule agreed upon with the VIP, maintaining 2–3 hours of overlap with the PST schedule.

Contract: Non-fixed Term Contract.

Requirements:

  • Education: Degree or technical training in Computer Science, Software Engineering, Information Technology, AI, or a related field is preferred.
  • Experience: 3+ years of experience building automations, integrations, or business applications. Proven experience writing and debugging code. Experience with AI tools, workflow automation, and REST APIs.
  • Skills: Proficiency in Python is preferred. Experience with JavaScript/TypeScript, C++, or C# is also considered. SQL experience is strongly preferred. Familiarity with REST APIs, LLM platforms such as OpenAI, Claude, or Gemini, and automation tools such as Make, n8n, Zapier, or Microsoft Power Platform. Working knowledge of SharePoint, CRM systems, and business platforms such as Airtable, Notion, HubSpot, Salesforce, or Supabase.
  • Characteristics: Strong systems thinking, problem-solving, documentation, and communication skills. Excellent written and spoken English. Curious, adaptable, detail-oriented, and willing to continuously learn emerging AI tools.

Responsibilities:

  • Leverage common industry AI models to train custom agents
  • Integrate business systems using APIs, automations, internal applications, and workflow solutions.
  • Translate approved workflow blueprints into technical solutions, working directly with the person who owns the process today to learn and document it where a blueprint doesn't yet exist.
  • Write tests for code in addition to user testing and QA with the goal of continuously improving deployed solutions for speed, quality, and scalability.
  • Document playbooks, SOPs, and technical handoff guides.
  • Continuously improve deployed solutions for speed, quality, and scalability.
  • Collaborate with internal stakeholders to clarify implementation requirements.

Ideal Candidate:

The perfect candidate enjoys taking a defined problem and creating systems to solve it. You will: think in systems and workflows, love integrating tools, enjoy building and iterating, and are able to communicate effectively with business users.

WHAT SUCCESS LOOKS LIKE (First 90 days):

  • Training and certification program conducted by the AI Officer Institute
  • Deliver production-ready automations
  • Reduce manual work for client teams
  • Create reusable documentation and playbooks

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