AI Engineer

<h3>📋 Description</h3> • About Luupli • Luupli is a social media app that has equity, diversity, and equality at its heart. • We believe that social media can be a force for good, and we are committed to creating a platform that maximizes the value that creators and businesses can gain from it, while making a positive impact on society and the planet. • Our app is currently in Beta Test, and we are excited about the possibilities it presents. • Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success. • As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. • Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation. • You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). • This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features. • Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit. • Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate). • Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems. • Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality. • Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub. • Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation. • Maintain modular, testable, observable, and secure code across the AI system lifecycle. <h3>🎯 Requirements</h3> • Degree in Computer Science, Engineering, or related field • Experience with machine learning, deep learning, NLP, and computer vision • Proficiency in Python, Java, and R • Strong knowledge of AI frameworks such as TensorFlow or PyTorch • Excellent problem-solving skills and ability to work in a team environment