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AI Integration Developer

Job in McAllen, Hidalgo County, Texas, 78501, USA
Listing for: iWeb Creations
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 50000 - 90000 USD Yearly USD 50000.00 90000.00 YEAR
Job Description & How to Apply Below

iWeb Creations builds AI-powered features and tools for small and mid-size businesses — from intelligent chatbots and automated workflows to custom AI agents integrated directly into Word Press, Woo Commerce, and business systems. We’re looking for developers who can work with AI APIs and translate them into real, working business solutions — not just demos.

Responsibilities:
  • Integrate AI APIs (Claude by Anthropic, OpenAI, Gemini) into web applications and Word Press sites
  • Build conversational AI features: chatbots, AI agents, smart forms, and lead capture flows
  • Develop automation workflows that connect AI tools with business systems (CRM, inventory, scheduling)
  • Create prompt engineering systems, knowledge bases, and context-aware AI responses
  • Implement AI-powered features inside Woo Commerce (product recommendations, smart search, etc.)
  • Test, iterate, and optimize AI outputs for real-world business use cases
Preferred Qualifications:
  • Experience working with AI APIs:
    Anthropic Claude, OpenAI, or similar
  • Understanding of REST APIs, webhooks, and async workflows
  • Familiarity with Word Press plugin development is a strong plus
  • Ability to write effective system prompts and build structured knowledge bases
  • Bonus: experience with n8n, Zapier, or similar automation platforms

Provide expert guidance on developing an AI strategy

Careers Inspire and get inspired
by professional experts

Remote

Per Project / Competitive

PHP / Laravel Developer

Conducting cutting-edge research in AI, developing new algorithms, and pushing the boundaries of AI capabilities.

Conducting cutting-edge research in AI, developing new algorithms, and pushing the boundaries of AI capabilities.

Designing and implementing machine learning models and systems, and optimizing algorithms for real-world applications.

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