AI Automation Builder - Developer

Description

Job Summary: HostingPlus is seeking a passionate AI Automation Builder & Developer who excels in AI-driven development and automation, capable of transforming ideas into agile and functional solutions. Key Highlights: 1. AI solution design and development 2. Workflow automation using n8n, Make, and Python 3. API integration with LLM models Exactly—you're absolutely right. Direct contact information must be removed from the description to prevent platform blocking or rejection of the job posting. Typically, job platforms already provide a 'Apply' button or an internal form for receiving CVs, so including email addresses in the text is unnecessary. Below is the cleaned version—free of contact details—and optimized to comply with platform rules while maintaining focus on AI: Title: AI Automation Builder & Developer (Full Agility) About the Role: HostingPlus is looking for a candidate passionate about AI-powered development and automation. We’re not seeking someone who merely follows manuals—we want a 'Builder' capable of turning ideas into agile, dynamic, and functional solutions using the most advanced tools available. Responsibilities: AI Solution Design and Development: Build workflows for complex tasks by aligning client needs with language models. Workflow Automation: Implement workflows in n8n (preferred) or Make, supplemented with Python scripts when necessary. API Integration: Connect LLM models (OpenAI, Gemini, Anthropic) with databases and web applications. Agile Product Development: Use AI-powered code generation tools (Cursor, Lovable, v0) to accelerate deployment of new applications and prototypes. Maintenance and Optimization: Monitor solution performance and continuously refine prompts and workflows for ongoing improvement. Requirements (We value talent and agility—not just titles): 'Cursor-First' Mindset: Proven experience developing software at high speed using AI-powered coding assistants. Automation Tool Proficiency: Demonstrable experience with n8n, Make, or Zapier. AI API Mastery: Understanding of context window, tokens, temperature, prompt engineering, and RAG architectures. 'Builder' Mindset: Ability to showcase real applications, automations, or agents you've built (personal projects are welcome). Python: Capability to write scripts, handle data, and create basic integrations. Technical English: Sufficient proficiency to read documentation for rapidly evolving tools. Desirable: Familiarity with vector databases (Pinecone, Supabase, Qdrant). Experience with frameworks such as LangChain or LlamaIndex. Basic understanding of Docker/containers. What We Offer: Join a team operating at the technological frontier, where your ability to experiment and build AI-powered products will drive your professional growth.-Requirements- Minimum education: Basic education 1 year of experience Age: between 22 and 30 years