Intern

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?

Senior Maritime Engineer Introducing an exciting opportunity to join the Infrastructure Engineering team as a Senior Maritime Engineer. Job Summary are seeking an ambitious and highly motivated Senior Engineer to join our Maritime team with the opportunity to support the wider Infrastructure Engineering team, including Rail and Asset Management. We are looking for a dynamic engineer who is technically strong, capable of taking a lead role in client management, and motivated to help assist and develop engineers and graduates. In this role, you’ll find yourself working as part of a young, growing and enthusiastic team. This role will provide you with the opportunity to work on an interesting and varied portfolio of projects such as structural inspections and designs on bulk material terminals, liquid handling terminals, RoRo, data centres, flood defence walls, passenger access and much more. You will also be given opportunities to supervise construction sites, contract administration and licensing and consenting. The opportunities are varied and offer genuine prospects for career progression and Chartership (if not already obtained). At, you will be continuously exposed to best in class thinking and innovative minds from a wide range of professionals. The Infrastructure Engineering team has recently been shortlisted for the New Civil Engineer and Railway Industry Association RISE awards and hold Investors in People Gold accreditation. Essential Qualifications and Experience Minimum of 6 years experience in a Civil/Structural Engineering role, ideally within the Maritime sector and on Infrastructure projects. Professional qualification, Chartered/Incorporated with ICE/IStructE, or near to. Strong design experience in a range of projects and structures. Proven experience of assisting or delivering projects to time and budget. Experience of assisting projects and teams with the associated financial management. Experience undertaking and checking designs and calculations. Effective communication skills in a client facing role. Experience of Eurocodes and British Standards. Experience of multi-disciplinary design coordination and integration. Working knowledge of a structural analysis software such as Tekla Tedds, Tekla Structural Designer (2D/3D frame), S-frame 3D, Robot, SuperStress, MIDAS, LUSAS etc. Proficient use of MS office-based software is essential. Working knowledge of relevant CDM regulations. Role Requirements Able to work independently under minimal direction. Excellent time keeping and time management. Willingness to take ownership of allocated tasks. Act as a Line Manager. Support and manage project team members, including providing technical support. Mentor and develop the understanding and technical knowledge of junior colleagues. Undertake roles related to Project Management. Preparation of fee proposals. Support in all aspects of tenders, including producing and delivering presentations. Determine a project’s scope of works, budget and programme. Responsible for the financial, technical and project management of various projects. Prepare or check technical reports, specifications, drawings, calculations, risk assessments and method statements. Comply with varying design standards ensuring all deliverables are compliant. Undertake design reviews to ensure coordination between design disciplines. Undertake and lead inspections, examinations and scoping visits with the client. Have a good understanding of relevant Health & Safety Legislation, Codes of Practice & standards and current design methods. Liaise and attend meetings with clients. Ability to communicate with people at all levels in both technical and non-technical environments. Benefits & Initiatives offer excellent benefits and initiatives, including: Incentive Scheme. Pension Scheme Car Benefit Scheme. Work From Home. Health Insurance – cash plan. Flexible working scheme. Long service award. Cycle-to-work scheme. Life assurance/personal accident cover. Annual leave inc. sell, buy & carry-over. Annual season ticket loan. Generous maternity & paternity pay. Employee introduction awards. Professional qualification support. Become a diversity/inclusion/zero emissions/innovation/technology champion.