Senior AI Prototyper

We re Hiring: Senior AI Prototyper | Remote Egypt At Globant, we are working to make the world a better place, one step at a time. We enhance business development and enterprise solutions to prepare them for a digital future. With a diverse and talented team present in more than 30 countries, we are strategic partners to leading global companies in their business process transformation. We are seeking a Senior AI Prototyper who shares our passion for innovation and transformation. This role is critical in building advanced AI-driven solutions that enable our business partners to evolve and meet the growing demand for personalized, intelligent digital experiences.

Desired Candidate Profile

Required Skills & Experience Technical Skills Languages & Web Stack: Strong proficiency in Python, JavaScript/TypeScript, and light front-end frameworks (React, Next.js, Streamlit, Gradio, or Tailwind CSS) for fast UI development. AI & LLM Integration: Hands-on experience integrating major LLM provider APIs (OpenAI, Anthropic, Google Gemini), prompt engineering, and basic orchestration frameworks (LangChain, LlamaIndex). Data & RAG Basics: Familiarity with vector embeddings, lightweight vector databases (Chroma, Pinecone), and document processing for rapid context injection. APIs & Tooling: Ability to quickly connect prototypes to external REST APIs, webhooks, and mock data stores. Title & Soft Skills Rapid Prototyping Mindset: Bias for action and speed over perfection comfortable writing lightweight, disposable code to test ideas fast. Product & UX Intuition: Strong understanding of user-centric design principles, conversation design, and AI interaction patterns. Cross-Functional Communication: Ability to articulate complex AI behavior and technical constraints clearly to non-technical stakeholders, design partners, and executive leadership. Preferred Qualifications 4+ years of software engineering or technical product prototyping experience. 2+ years of hands-on experience building with generative AI or LLM-backed applications. Prior experience in early-stage product development, innovation labs, or R&D environments.