The Corner Cafe

My Aqua is a Legionella Control & Water Hygiene Service company that is continuing to expand and reach out to new customers. We are looking for a time served Senior Pump Service Engineer / Pump Services Manager (reporting to the Operations Manager) to join our team. The immediate job consists of completing servicing, diagnostic, installation, and breakdown work on a range of pump stations and submersible pumps. The long-term goal would be to manage a small pump engineer team and to assist with pump associated quotations. The successful Pump Engineer will ideally be based within a reasonable distance of the M25 and will have a strong background experience of maintaining, fault finding and installing a wide range of clean water pumps and ideally drainage pump. Join our team as a Senior Pump Engineer / Pump Services Manager and contribute to meaningful projects that positively impact communities. The majority of the jobs will be located in high-end residential properties in London and the surrounding areas, and the role will typically involve working on servicing and breakdown jobs, and then collective team work for larger-scale jobs and installations and will also be willing to join our callout rota. Occasionally works may be further afield which may require staying away, costs for hotel and meals will be covered by the company. Other responsibilities will include temperature profiling, sampling and reporting on associated tank and pipework in addition to other Legionella Control, Water Hygiene and Treatment Services. Pump Engineer Position Requirements • Proven experience in water pumps, fault finding , service, installation and repair and project management, • Excellent communication skills to effectively collaborate with team members and clients, • Experience working with Lowara, Wilo, Grundfos , DAB, Aquatech, Espa systems - clean water booster set, • Previous experience completing Service/Maintenance work on Booster sets submersible pumps and control panels, • Previous experience on installing new booster sets, • Previous experience in diagnostics, • Booster set experience essential, • Electrically competent (18th Edition qualification desirable), • Confined Space trained, • Basic knowledge in Legionella Control, Water Hygiene and Treatment CSCS card desirable Full UK Driving License essential Happy to commute Applicants must be able to demonstrate the following skills: Basic IT skills (Onsite Job Reporting Required) Good industry knowledge Confident communication skills Good time management Willingness to travel Flexible in areas to work in Experience: • Pump Servicing: minimum 5 years (required), • Pump Engineer Position Remuneration, • Salary £35 to 40k, depending on experience, negotiation for correct candidate., • Company Van, Phone, Tools & fuel card provided, • Monday - Friday. Hours are typically 08.00-17.30 with overtime available, • 28 Day's Holiday paid inc. Bank Holidays

We are looking for a passionate **Shift Engineer *to join our wonderful team of our 5 Hotel Client. What You will Do • From £30,000 to £35,000 per annum plus service charge, travel contribu, • 40 hours a week, • You will be responsible for carrying out any repair or maintenance issues throughout the hotel as and when they arise, • You will respond to and attend to guest repair requests, • You will perform preventative maintenance on tools, kitchen and mechanical room equipment, • You will be an excellent communicator and build excellent relationships with departments across the hotel, • Report on any new or developing engineering works that need to be addressed to the Engineering Manager, • Assist with maintaining the physical appearance and operational efficiency of the hotel including physical, mechanical, electrical, plumbing etc., • Assist with inventory organisation and ordering What We are Looking For: • Organisation and ability to multi-task Attention to detail • Strong problem solving skills Prior experience as an Engineer in hotels. • Candidate should have excellent communication skills, • Experience with hardware tools and electrical equipment Kindly apply with your CV and we get back to the successful candidates within 2 days.

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?