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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?

The GAO Group is headquartered in NYC, USA, and Toronto, Canada, and its member companies are incorporated in both USA & Canada, and its member companies are leading suppliers of advanced electronics and network products for engineers worldwide. Location : Remote Job Description: · Recruit and source candidates: Job boards, social media, headhunting · Post job openings on various recruitment platforms and university portals. · Screen resumes and applications · Schedule interviews for senior HR staff · Manage communication through emails and LinkedIn with applicants and follow up with the candidates. Requirements: · You are studying for or shall have a University degree in HR, Journalism, Business, Arts, or any programs providing strong English language training or candidates with strong English language skills. · You shall be keen to learn, willing to work hard, maintain productivity, and be committed to the job. · You shall have chosen HR as your desired career and are strongly interested in an intern opportunity related to HR. Benefits of this Internship Include: · You gain real-world work experience at an internationally reputable high-tech company; · Learn real-world knowledge, work ethics, team spirits; • Receive 3 certificates, and · It is short & convenient: you can work from anywhere, which makes you much more employable and competitive in the job market.

Location - Oval, South London (Onsite) ** Type -** Full-Time Start Day - Immediate ** Salary -** £30,000 - £35,000 (top end reserved for outstanding candidates) ** Headquarters -** New York, NY, USA ** About Quant.ai** Quant.ai is building the world’s most advanced Agentic AI – transforming customer service, outbound engagement, and internal decision-making for global enterprises. Our technology helps clients reduce inbound volume, improve response times, and deliver futuristic digital experiences powered by human-like AI. We’re now opening a new office in Oval, South London, and we're looking for our first wave of AI-enhanced customer service reps to help us scale. The existing team in London is small but mighty – 5 people aged 24-27 – and we’re building a collaborative, fast-moving culture where you’ll grow quickly. Our global team (75+) is led by Chetan Dube, former founder & CEO of Amelia ** The Role** As a Customer Service Representative working in tandem with our Agentic AI, you’ll step in when the AI is unable to fully resolve a customer query on behalf of one of our enterprise clients. You’ll not only provide a human touch to resolve the customer’s issue – but also investigate what went wrong, working alongside engineers and product teams to improve the AI’s performance. This is an ideal role for someone in customer support looking to break into the world of AI and tech. No real prior experience is required – we’re just looking for someone with the right attitude. Full training provided. ** What You’ll Do** - Take over live chats, calls, or tickets escalated by our Agentic AI for one of our clients (e.g., in banking, energy, insurance, or telco) - Calm and resolve customer frustrations when the AI couldn’t resolve their problem - Troubleshoot why the AI failed (e.g., gaps in logic, language understanding, integrations) - Conduct light QA and error analysis across transcripts and system logs - Collaborate with product managers and engineers to improve AI flows - Participate in project management cycles for continuous iteration and model training - Learn the ins and outs of agentic systems, prompt design, and conversational logic - Help shape a brand new category of support – Human-AI collaboration ** What We're Looking For** 1. 1+ years experience in customer service (live chat, phone, or email-based) is great – but not required 2. Excellent written and verbal communication 3. Ability to empathize with frustrated customers and stay calm under pressure 4. Strong problem-solving mindset and curiosity – especially around how things work 5. Comfortable working with technical teams (no coding required – training provided) 6. Highly organized, proactive, and detail-oriented 7. Eagerness to learn AI technologies, tools, and workflows ** Nice to Have (But Not Required)** ** ** ** Why This Role Matters** This is not a traditional customer service role. You’ll be the human failsafe for some of the world’s most advanced enterprise AI systems – and the bridge between customers and technology. Your feedback will shape how millions of future interactions are handled.

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.

we are building AlgoRisk AI – a next-generation platform that uses AI to transform how banks develop and govern financial models. We’re currently working on a number of projects across using GPT-4, React, Supabase, and modern LLM tools. This is a confidential, real-world project (not open-source). I’m inviting a small group of motivated contributors to work with me as unpaid interns or collaborators. What You’ll Gain: • Official Certificate of Contribution (AlgoRisk AI) • Mentorship from a fintech founder • Hands-on experience with real-world AI tooling • Strong reference or letter for future roles • Chance for future paid work post-MVP ⸻ Key Skills Needed (any 2–3 of these is enough): • React / Next.js (Frontend) • Supabase (Database + Auth) • OpenAI API (GPT-4/4o chat completion) • JavaScript or TypeScript • CodeMirror or Monaco Editor • Python / FastAPI (nice to have) • GitHub + version control • Curiosity to learn and build fast ⸻ Commitment: • Remote, flexible hours (20-30 hrs/week) • 3–5 weeks (initial phase) • Start immediately ⸻ How to Apply: DM us with: • Your name and country • LinkedIn or GitHub profile • A short sentence on why you’re interested Let’s build something impactful together.

How about using your talent to save a life? In Lynxight we literally save lives by equipping pool lifeguards with an AI-based companion that's revolutionizing water safety. Our innovative technology enhances lifeguards’ response times and provides pool management with crucial operational insights, setting high standards in the aquatic leisure industry. With a growing global presence across renowned fitness, leisure, and hospitality sectors, and strategic partnerships aimed at advancing water safety, Lynxight is at the forefront of technological breakthroughs. Are you up for the challenge? Location: Remote (UK) Department: Operations / Customer Success Employment Type: Full-Time (day rate) About Lynxight Lynxight is a cutting-edge technology company specializing in AI-powered video analytics for aquatic environments. Our mission is to create safer, smarter, and more responsive aquatic facilities through intelligent surveillance systems and actionable data insights. We partner with public and private institutions globally to elevate safety standards and operational efficiency. Role Overview We are seeking a highly motivated and technically skilled Technical Support Engineer to join our growing team. As the first point of contact for our UK clients, you will be instrumental in diagnosing and resolving technical issues, supporting the smooth implementation of projects, and maintaining the high standards of customer satisfaction Lynxight is known for. This role requires a proactive and solution-oriented mindset, a self-starter with excellent communication skills, and the ability to troubleshoot complex hardware-software systems in real time. Key Responsibilities · Play a crucial role in delivering hundreds of parallel implementations for a diverse range of customers. · Support the remote technical teams to diagnose, troubleshoot, and resolve technical issues with existing sites and those in the project delivery phase. · Act as the primary technical in-person liaison for UK-based clients and partners. · Develop the technical skills required to deputise for the implementation engineers as required. · Support customers through system setup, calibration, and routine maintenance procedures as required. · Participate in the development of support and implementation best practices and knowledge base content. · Directly reporting to the Head of UK Customer Operations. Qualifications / skills · 2+ years of experience in technical support, IT, or a related technical customer service role. · Strong technical background in IT, with knowledge of hardware, software, and networking. · Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field (preferred). Equivalent experience and qualifications would be considered. · Proficiency with Windows/Linux operating systems and command-line tools · Excellent problem-solving and analytical skills. · Customer-focused attitude with a commitment to providing exceptional service. · Self-motivated with the ability to work independently and manage multiple priorities. · Ability to travel frequently and work on the road, including overnight stays. · Previous experience working with international teams or startups an advantage · Proven right to work in the UK. What We Offer · Longterm contract. · Remote-first work culture with flexibility. · Opportunity to work with a mission-driven, fast-growing team at the intersection of AI and public safety. · Career development opportunities and direct involvement in shaping customer success strategies. If you love tech and people, excel at juggling multiple challenges at once, and are eager for a place where you can truly grow—then you belong with us!