AI Automation Builder - Developer

Description

Job Summary: HostingPlus is seeking a \ Key Highlights: 1. Design and Development of AI Solutions for Complex Tasks 2. Automation of Workflows with n8n, Make, or Python 3. Integration of LLM Model APIs with Databases and Web Applications Exactly, you're absolutely right. You must remove direct contact information from the description to prevent the platform from blocking or rejecting the posting. Typically, job platforms already have an 'Apply' button or an internal form where you receive CVs, so there's no need to include the email address in the text. Here is the cleaned-up 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-driven development and automation. We are not seeking someone who merely follows manuals—we want a 'Builder' capable of transforming ideas into agile, dynamic, and functional solutions using the most advanced tools available in the market. Responsibilities: AI Solution Design and Development: Create workflows for complex tasks by connecting 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 code-generation tools (Cursor, Lovable, v0) to accelerate deployment of new applications and prototypes. Maintenance and Optimization: Monitor solution performance, fine-tuning prompts and workflows for continuous improvement. Requirements (We seek talent and agility—not just formal qualifications): 'Cursor-First' DNA: 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: You must be able to show us real applications, automations, or agents you've built (personal projects are welcome). Python: Ability to write scripts, handle data, and create basic integrations. Technical English: Sufficient proficiency to read documentation for tools that change weekly. Desirable: Knowledge of 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