AI Engineer – Full Stack

About the job

What You Will Own You will own AI as a system , not as a side feature. You will : • Design and build AI-powered recommendation & personalization systems • Implement LLM-based workflows using RAG, tools, memory, and agents • Create AI agents to automate user and internal workflows • Build continuous learning loops (signals → feedback → improvement) • Own data pipelines for training, inference, and evaluation • Develop full-stack features end-to-end (backend + frontend + deployment) • Build sentiment, intent, and behavioral intelligence layers • Enable creative, graphical AI experiences (invitations, templates, editors) • Drive automation-first architecture across the platform. Hard Requirements (Non-Negotiable) AI & LLM Systems You must have hands-on production experience with : • Large Language Models (OpenAI, Anthropic, or open-source) • RAG architectures • LangChain / LangGraph / agent frameworks • Prompt engineering with structured outputs • AI feedback loops and evaluation strategies Full-Stack Engineering You must be strong in : • Backend development (Node.js and / or Python) • Frontend development (React or modern JS frameworks) • API design, async workflows, data modeling • Shipping production features end-to-end. Mindset We’re Looking For • Founder-level ownership • High curiosity and learning velocity • Comfort with ambiguity • Bias for action with quality • Deep passion for AI and product building • Desire to build something meaningful from scratch.

Requirements

• AI Systems
• LLM
• Full-Stack Development
• Node.js
• React

Preferred Technologies

• AI Systems
• LLM
• Full-Stack Development
• Node.js
• React