Court Security Ltd

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?

About Us: We are a growing air conditioning installation and service business serving residential and commercial clients across London. We pride ourselves on delivering high-quality installs and excellent customer service. As we expand, we are seeking experienced F-Gas certified engineers to join us on a subcontractor basis. Role Overview: You will be responsible for the installation, servicing, and maintenance of air conditioning systems (primarily split and multi-split units). You will represent the company at customer sites, ensuring all work is carried out to the highest standards and in full compliance with health & safety regulations. Responsibilities: Installation of new AC systems (primarily split and multi-split) at domestic and commercial sites Fault-finding, diagnosis, and repair of AC units Routine servicing and maintenance Ensuring all works comply with F-Gas regulations Completing job reports and documentation Providing excellent customer service and upholding company reputation Liaising with office team for job scheduling and updates Adhering to all relevant health & safety guidelines on-site Requirements: Valid F-Gas certification (Category 1 preferred) Proven experience installing and servicing AC systems Own tools and transport (van preferred) Public liability insurance UTR number (for subcontractor payment) Strong communication and problem-solving skills Professional, reliable, and customer-focused What We Offer: Competitive per-installation rates (£200–£600 per install, depending on job size) Regular pipeline of work (especially during peak season) Flexible schedule—accept jobs that fit your availability Prompt payment Support from our office team

Goldensword LTD is offering a valuable, unpaid 6-month part-time internship opportunity designed to provide hands-on studio experience in architecture, structural and interior design, and civil engineering. Successful candidates may be offered a qualified paid role after completion. Who Can Apply: Architecture Interior Architecture Structural Engineering Civil Engineering graduates Requirements: Must be currently living in London Must hold a UK-based Bachelor's or Master's degree University students are also welcome Fluent English (written and spoken) Excellent AutoCAD 2D skills Working knowledge of at least one 3D program (Revit, Rhino, ArchiCAD, SketchUp, or 3Ds Max) No prior work experience required Must have the right to work in the UK – we do not sponsor visas Overseas applications will not be considered Internship Details: 2 weekdays per week, 9:00 AM – 5:00 PM Office location: 346 Queensbridge Road, London E8 3AR Immediate start preferred Interns will be provided with: Company computer and software access Snacks and refreshments Performance-based bonus system Compensation: This is a training-based internship aimed at helping early-career professionals build real-world experience. While the position is not salaried, it offers meaningful exposure to the industry and the potential for future employment with us. Please do not call the office – our HR department does not provide recruitment support for internship roles.

Typical Duties: Installation: Installing new gas appliances like boilers, cookers, and fires. Maintenance: Servicing, repairing, and maintaining existing gas systems. Fault Finding: Diagnosing and repairing faults in gas appliances and heating systems. Safety Checks: Conducting safety inspections and issuing gas safety certificates. Customer Service: Providing advice to customers on gas safety and energy efficiency, and potentially offering additional cover options. Emergency Response: Responding to emergency calls related to gas leaks and breakdowns. Qualifications and Requirements: Gas Safe Registered Engineer: Holding a valid Gas Safe license is a mandatory requirement for all gas engineers in the UK, according to Gas Safe Registry. Accredited Training: Completion of accredited training courses and qualifications in gas engineering. Practical Experience: Demonstrated experience in installing, maintaining, and repairing gas appliances. Relevant Qualifications: Qualifications such as NVQ Level 3 in Gas Engineering or equivalent may be required. Knowledge of Regulations: A thorough understanding of relevant regulations, standards, and safety procedures. Customer Communication Skills: Ability to communicate clearly and professionally with customers, explaining work procedures and providing advice. Problem-Solving Skills: Ability to diagnose and resolve complex issues related to gas systems. Health and Safety Awareness: A strong understanding of health and safety procedures and risk assessments related to gas work.