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We are Honest Greens 🌱, an innovative, passionate, and rapidly expanding restaurant lifestyle brand with one mission: improve society through real food. We do things differently in our industry, embracing - and creating - new restaurant trends and technologies that allow us to make healthy food affordable, convenient, and incredible delicious. We believe this will help people in our communities live longer, happier, and more sustainable lives. Over the coming years, we will be scaling our restaurant, geographical, and digital footprint to ensure our customers can interact with our brand wherever they are. This is an amazing opportunity to join our journey as we build our product and scale globally. At Honest Greens, we are looking for a Restaurant Maintenance Technician with proven experience in maintenance and repair of professional kitchen equipment. You will be responsible for ensuring that our kitchen machinery (cold, heat, and ventilation systems) operates efficiently, supporting the daily pace of our restaurant in London. Your day-to-day will include… • Maintenance and repair of hospitality machinery: ovens, refrigeration units, fryers, etc., • Diagnosing and resolving technical issues quickly and effectively., • Inspection and servicing of industrial HVAC (heating, ventilation, air conditioning) systems., • Performing preventive and corrective maintenance on all restaurant installations., • Managing procurement of spare parts, tools, and machinery., • Controlling stock levels and ensuring timely orders of necessary equipment., • Carrying out repairs in electricity, plumbing, carpentry, and masonry when needed., • Coordinating with the Maintenance Department to ensure compliance with our maintenance program. Skills & Qualifications: • Proven experience as a hospitality/kitchen equipment mechanic or technician., • Solid knowledge of cold/heat systems, ventilation, and electrical systems., • Skills in general construction trades (masonry, plumbing, carpentry) a plus., • Strong organisational skills and problem-solving mindset., • Ability to work independently and as part of a team., • Fluent in English and Spanish will be value Benefits: 💸Attractive wage 🍍Free daily food in our restaurants 🥑50% discount in our restaurants 🎟️ Awesome corporate events 🚀 Internal growth opportunities 🌍 International, open-minded and unique team 💯Amazing work environment. 100% uniques! Do you want to join our REAL FOOD REVOLUTION?
Company Overview: NEW HOME NEST LIMITED is a fast-growing London-based property service company, dedicated to helping international clients—particularly overseas students and young professionals—find quality rental accommodation in the UK. We specialize in offering reliable, transparent, and personalized rental solutions across Greater London. With our expanding client base and growing network of property partners, we are seeking a talented Public Relations professional to help shape and enhance our brand presence, manage external communications, and build meaningful relationships with media, clients, and stakeholders. Key Responsibilities: Develop and execute targeted public relations strategies to strengthen the company’s brand presence in the competitive UK rental market, with a focus on international tenants and culturally diverse audiences. Build and manage relationships with media outlets, journalists, and influencers; coordinate interviews, draft press releases, and ensure timely dissemination of accurate public statements. Plan and support community engagement initiatives to build trust and visibility among international students, university societies, and real estate service partners. Monitor public perception across social media, online forums, and review platforms; respond to inquiries and feedback in alignment with the company’s brand and communication policy. Collaborate with marketing, sales, and operations teams to maintain consistent messaging across all communication channels and ensure alignment with broader business goals. We Offer: Competitive salary within the range of £39,000 – £44,000 per annum An inclusive and multicultural working environment Opportunities for career development in a growing property service company Involvement in high-impact communications initiatives that influence public image and customer engagement A central London office location with convenient access to transportation and amenities
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?