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System architect and developer Job Description: As a System Architect and Developer, you will play a critical role in designing, developing, and implementing robust, scalable, and secure systems that support our innovative AI-driven platform. You will lead a team of developers, collaborate with cross-functional teams, and contribute to strategic technology decisions that align with our business goals. Key Responsibilities: · Lead System Architecture Design: o Develop and implement system architectures that meet business requirements. o Ensure scalability, security, and performance of the platform. o Evaluate and recommend technologies and tools to enhance development efficiency. · Software Development: o Write clean, maintainable, and efficient code. o Oversee the development of new features and enhancements. o Conduct code reviews and ensure adherence to best practices. · Team Leadership: o Lead and mentor the development team in the London office. o Facilitate collaboration between developers, data scientists, and product managers. o Coordinate with the CTO to align the team's efforts with company objectives. · Project Management: o Define project scopes, timelines, and deliverables. o Monitor progress and adjust plans as necessary to meet deadlines. o Communicate project status and risks to stakeholders. · Quality Assurance: o Implement testing strategies to ensure software quality. o Address and resolve technical issues promptly. o Maintain documentation for system architecture and development processes. · Stay Current with Industry Trends: o Keep up-to-date with emerging technologies and industry best practices. o Integrate relevant advancements into the company's technology stack. Qualifications: · Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. · Experience: o Minimum of 7 years of professional experience in software development. o At least 3 years in a system architect or senior developer role. o Proven experience leading development teams. · Technical Skills: o Proficiency in programming languages such as Python, Java, or C++. o Strong understanding of AI and machine learning concepts. o Experience with cloud platforms like AWS, Azure, or Google Cloud. o Familiarity with microservices architecture and RESTful APIs. o Knowledge of database systems (SQL and NoSQL). o Experience with DevOps practices and CI/CD pipelines. · Soft Skills: o Excellent leadership and team management abilities. o Strong problem-solving and analytical skills. o Effective communication skills, both verbal and written. o Ability to work collaboratively in a fast-paced environment. What We Offer: · Competitive salary and benefits package. · Opportunity to work with a dynamic team at the forefront of AI innovation in finance. · Professional growth and career development opportunities. · A collaborative and inclusive work environment. · Flexible working arrangements.
At Bake + Brew, we’re more than a bakery café — we’re a space that celebrates the craft of baking, exceptional coffee, matchas and vibrant hospitality. From flaky croissants to signature cakes, spuds and freshly baked sourdough, our products reflect our passion for quality and creativity. As we grow, we’re looking for a dynamic and driven Bakery Manager to lead our front and back-of-house teams, ensuring daily excellence and long-term development. The Role This is a hands-on management role where you will take ownership of the daily operations, people management, quality control, and customer experience. You’ll lead a team of bakers, baristas, and service staff, ensuring a smooth and efficient operation while maintaining Bake + Brew’s high standards. Key Responsibilities • Manage day-to-day operations of the bakery café, including opening/closing procedures, stock control, and rota planning., • Ensure the consistent quality of baked goods, presentation, and service., • Oversee production schedules, food safety, allergen compliance, and kitchen efficiency., • Train, develop, and motivate team members, creating a positive and performance-driven culture., • Monitor KPIs including labour cost, wastage, and customer satisfaction., • Support with seasonal menu planning and new product launches., • Handle customer feedback with professionalism, turning challenges into opportunities. What We’re Looking For • Minimum 2 years’ experience in a bakery, café, or food retail management role., • Strong leadership skills with a collaborative, can-do attitude., • Knowledge of baking and food production processes (you don’t need to be a baker, but must understand quality)., • Excellent communication, planning, and team-building abilities., • Familiarity with food safety, HACCP, allergen laws, and health & safety compliance., • Commercial acumen and experience managing budgets, rotas, and suppliers., • A love of good coffee, pastries, matchas and creating memorable customer experiences. What We Offer • Competitive salary based on experience Staff discounts on food, drink, and retail items • Opportunities for progression as we expand, • A creative and supportive working environment, • Training and development opportunities
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?