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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. Job Description 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. Responsibilities 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. Requirements 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only). Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit LangGraph, LangChain, or similar PyTorch, Transformers FAISS, Weaviate, or Pinecone Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA). Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering. Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub. Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring. Nice to Have Experience with Google’s Agent Development Kit or similar agent ecosystems. Familiarity with multimodal AI (e.g., handling text, image, audio, or video content). Prior experience developing creator platforms, content recommendation engines, or social media analytics. Understanding of ethical AI principles, data privacy, and bias mitigation. Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog). Data engineering experience, such as: Building ETL/ELT pipelines Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds) Using tools like BigQuery, Airflow, or dbt Designing or consuming feature stores for AI/ML applications Compensation This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success. As part of your cover letter, please respond to the following questions: This position is structured on an equity-only basis. Thus, it is presently unpaid until we secure seed funding. Given this structure, are you comfortable continuing with your application for this role? Have you built or contributed to agent-based AI systems using frameworks like LangGraph, LangChain, or Google’s Agent Development Kit? Do you have experience with Retrieval-Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone, Weaviate)? Have you deployed AI systems on Google Cloud Platform? If not, which cloud platforms have you used and how? Have you integrated LLMs (e.g., OpenAI, Gemini, Claude) into autonomous or multi-step workflows? Can you explain how agents collaborate and maintain memory across tasked in multi-agent systems? What is your experience with prompt engineering, tool invocation, and orchestrated LLM workflows? Do you have any public code repositories (e.g., GitHub), demo URLs, or project write-ups showcasing your work?
KEY ATTRIBUTES Ø Being an excellent communicator Ø An excellent telephone manner and proven customer service skills Ø A team Player with flexible & positive attitude Ø Hardworking and consistent DESIRABLE ATTRIBUTES Ø Previous experience of the hospitality industry Ø Passion for the hospitality industry Ø Able to work in a fast paced environment & remain calm under pressure Ø Previous brand experience or knowledge MAIN SCOPE OF ROLE As a MixBar Attendant crucial part of your job is not only to refresh the mini Bar but also to create memorable experiences, establish a connection and add a personal touch. You work closely with In Room Dining, Style, and the Welcome Desk as we know that team work is how we can achieve outstanding service quality for our guests. MAIN DUTIES & RESPONSIBILITIES This role requires the following responsibilities, which include but are not limited to; Ø Complete closing duties, including storing all reusable goods, breaking down goods, making charges for consumed products. Cleaning all equipment and areas, returning equipment to proper locations, locking refrigerators, restocking items, turning off lights, locking doors, and completing daily cleaning checklist. Ø Set up, stock, and maintain work areas. Inspect the cleanliness and presentation of all china, glass, and silver prior to use. Ø Maintain cleanliness of work areas throughout the day, practicing clean-as-you-go procedures. Ø Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications. Ø Ensure uniform and personal appearance are clean and professional. Maintain confidentiality of proprietary information; protect company assets. Ø Support all co-workers and treat them with dignity and respect. Support team to reach common goals. Ø Comply with quality assurance expectations and standards. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance. Ø Stand, sit, or walk for an extended period of time or for an entire work shift. Read and visually verify information in a variety of formats (e. g., small print). Grasp, turn, and manipulate objects of varying size and weight, requiring fine motor skills and hand-eye coordination. Ø Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Move over sloping, uneven, or slippery surfaces and steps. Move up and down stairs and/or service ramps. Ø Welcome and acknowledge all guests according to company standards. Ø Perform other reasonable job duties as requested by Supervisors. As per business needs and at the request of direct supervisor and/or management, the talent could be required to perform other tasks outside of those listed above.