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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?
Role Overview: We’re looking for a Mobile Electrical Engineer to carry out planned preventative maintenance (PPM) across a portfolio of commercial sites in London and occasionally Surrey. This is a hands-on role within building services, ideal for someone with solid electrical maintenance experience and a proactive approach to work. Key Responsibilities: - Carry out general PPMs and reactive maintenance - Work on building services systems including: - AHUs (Air Handling Units) - FCUs (Fan Coil Units) - Emergency lighting testing - Ballast replacement - Flushing tests - General electrical and building services maintenance - Complete job reports and maintain accurate records via smartphone Requirements: - NVQ Level 3 or equivalent in Electrical Installation / Maintenance - 18th Edition qualified - Previous experience in a building services/FM environment - Full UK driving licence ** ** What’s On Offer: - Competitive salary based on experience - Company van & fuel card - PPE and uniform provided - Company smartphone - Stable, long-term role with progression potential Salary £40,000 - £42,000
We are a small family-owned, auto repair shop located in North Acton, 15 Steele road, NW10 7AS known for specialising in Toyota Hybrids (Auris’,Prius, Prius plus, plug in hybrid) At All Car Needs, we take pride in delivering high-quality automotive repair and maintenance services to our loyal customer base. We are currently looking to expand our small team with a skilled, dependable, and motivated mechanic who is passionate about their trade. If you’re experienced with: Maintenance and Repairs Oil changes Brake system repairs (pads, rotors, fluid) Tire services (rotation, balancing, replacement) Battery replacement and testing Engine tune-ups Transmission service and repair Suspension and steering repairs Exhaust system repairs Cooling system service (radiators, thermostats, hoses) Fuel system repairs Diagnostics Check engine light diagnostics Reading and interpreting OBD-II codes Engine performance diagnostics Electrical system diagnostics Noise and vibration troubleshooting Installation and Replacement Alternators, starters, and belts Air conditioning components Sensors and electronic control units (ECUs) Lights and fuses Windshield wipers and motorsbrake systems, engine diagnostics, AC repairs, Servicing, have a strong work ethic, and enjoy being part of a collaborative, hands-on environment, we’d love to hear from you. Work hours: Monday to Friday: 8am - 6pm, Saturday: 8am - 2pm If you are interested please contact us, and arrange a visit for a trial. For more information and discussion of salary please contact us.
We are looking for a skilled Auto Mechanic to maintain and repair vehicles. You will be responsible for troubleshooting issues and fixing them aiming to maximum reliability and functionality. An excellent auto mechanic has good eye-hand coordination and manual dexterity. You should be well-versed in complex mechanical or electronical systems of vehicles and have excellent problem-solving abilities. Also Perform basic care and maintenance, including changing oil, checking fluid levels, and rotating tyres. Repair or replace worn parts, such as brake pads, wheel bearings, and sensors. Perform repairs to manufacturer and customer specifications. Responsibilities Inspect vehicle engine and mechanical/electrical components to diagnose issues accurately Inspect vehicle computer and electronic systems to repair, maintain and upgrade Conduct routine maintenance work (replacing fluids, lubricating parts etc.) aiming to vehicle functionality and longevity Repair or replace broken or dysfunctional parts and fix issues (e.g. leaks) Provide accurate estimates (time, effort) for a repair or maintenance job Keep logs on work and issues Maintain equipment and tools in good condition Inspections of vehicles that require an MoT test to be carried out. Requirements and skills Proven experience as auto mechanic Knowledge of what will fail a MoT test when inspecting a vehicle Excellent knowledge of mechanical components. Knowledge of Electrical and electronic components of vehicles an advantage. Working knowledge of vehicle diagnostic systems and methods Ability to handle various tools and equipment Willingness to observe all safety precautions for protections against accidents, dangerous fluids, chemicals etc. Good health condition. UK Drivers licence – a licence check will need be completed prior to employment. Any medical issues will need to be disclosed, immaterial of whether they affect the candidate’s ability to do the necessary work. This information will be kept confidential.