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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?

About Serac Group Serac Group is a UK based technology company leading the digital transformation of the property, planning and local government sectors. Through our suite of platforms including SeracTech, Ibex, Planda and our upcoming launch Rafter, we are reshaping the future of property data, planning intelligence and civic technology. We are one of the largest providers of AI and backend software to local government in the UK, supporting over 270 councils in how they read, manage and process planning applications. Our strategic partnership with Idox PLC allows us to deliver high impact, scalable solutions across both the public and private sectors. Our platform Ibex supports around 85 percent of all UK property transactions, providing local authority search data to conveyancing professionals and powering approximately 3,000 property transactions a day. We also supply reliable property and planning data to major comparison sites such as GoCompare and Compare the Market, along with 18 of the top 20 UK mortgage lenders, including NatWest and Barclays. At Serac Group, our mission is to build intelligent and connected systems that link people, data and decisions, enabling better outcomes in planning, property and place. Role Overview As the Technical Lead, you’ll oversee a section of the engineering team, champion best practices, and set the technical direction for our products. You’ll play a key role in product development, resource allocation, and fostering a high-performance engineering culture. This role requires a deep technical background, strong leadership skills, and a passion for building impactful products. This role offers a balanced blend of hands-on technical work and people-focused responsibilities. You will spend approximately 50% of your time directly engaged in practical, technical tasks, ensuring that key deliverables are met. The other 50% will be dedicated to leading and developing your team, fostering collaboration, and driving performance through effective management and coaching. This dual focus allows you to have a direct impact on both the technical output and the growth of your team members. Key Responsibilities • Leadership & Strategy: You actively promote a high standard of engineering excellence within your teams. You are accountable for the technical outcomes delivered by your teams, as well as the performance and growth of individual engineers. Therefore, maintaining a high standard and clearly communicating your expectations is essential. • Product Development: Oversee the technical aspects of product development, from early-stage ideation to product launch. Ensure scalability, performance, and security of the solutions being developed. • Engineering Culture: Foster a collaborative, results-driven engineering culture. Champion continuous improvement, technical innovation, and the adoption of best practices across the team. • Team Development: Grow and mentor a high-performing engineering team. Provide leadership and guidance in career development and technical expertise by conducting regular sit downs with the team to assess progress and give feedback where necessary. • Cross-Functional Collaboration: Work Closely with CTO & Head of Product to translate business needs into technical solutions. Ensure smooth communication between product and engineering teams. • Process Optimisation: Continuously improve engineering processes, workflows, and tools to ensure efficiency and effectiveness. Advocate for Agile development practices and other methodologies that improve team productivity. Must-Have Requirements • Experience: 3+ years in engineering leadership roles, with a proven track record of successfully leading engineering teams in a fast-paced environment. • Technical Expertise: Strong background in software development and architecture. Expertise in modern tech stacks (e.g., TypeScript, Node.js, SQL, cloud platforms like AWS). Hands-on experience with both front-end and back-end technologies. • Leadership Skills: Demonstrated ability to lead, inspire, and mentor engineering teams. Strong interpersonal skills to communicate effectively with both technical and non-technical stakeholders. • Product Focus: Experience working closely with product teams to align engineering efforts with business goals. Ability to understand the broader vision and deliver high-quality solutions. • Problem-Solving Mindset: A solution-oriented approach to complex challenges, with the ability to make strategic decisions in a rapidly changing environment. • Agile Experience: Strong experience in Agile methodologies and practices, with the ability to implement and adapt processes that work best for the team. Desirable Skills • Experience with containerisation technologies such as Docker and Kubernetes. • Familiarity with microservices architectures and distributed systems. • Experience in managing cross-functional projects and collaborating with senior leadership. • Background in AI or machine learning technologies. • Startup experience where adaptability and hands-on leadership are essential. Rewards • Unlimited Holiday to ensure you maintain a healthy work-life balance. • Fast Career Growth opportunities in a rapidly scaling company. • Ongoing Training & Development to help you stay at the top of your game. • A Great Team & Company Culture with regular socials and team-building events. • Mentorship Program to support your professional growth. • Dog-Friendly Office because we know pets make everything better. • Monthly Pension Scheme to secure your future. Why Serac Group? At Serac Group, we’re redefining what’s possible in planning and construction through AI and technology. We hire talented people who are passionate about making a difference, solving problems, and driving innovation. As part of our team, you’ll be surrounded by curious, driven colleagues who want to shape the future. We believe in creating a culture of collaboration, continuous learning, and excellence. Join us to make an impact on the world of PropTech and beyond.

Job Vacancy: Agentic AI Professional (Full-Time) Location: Canary Wharf, London (Remote or Hybrid Options Available) Type: Full-Time Sector: Artificial Intelligence, Emerging Technologies About Us: We are a forward-thinking UK-based firm at the forefront of AI innovation, focusing on the next generation of intelligent systems. Our mission is to create ethical, autonomous, and highly functional agentic AI solutions that drive transformation across industries. As we scale our operations, we're looking for a talented Agentic AI Professional who is passionate about building AI agents that can plan, reason, and act independently within complex environments. Role Overview: As an Agentic AI Professional, you will play a key role in designing, developing, and deploying autonomous agents that operate across various domains, including enterprise automation, decision-support systems, and human-AI collaboration tools. Key Responsibilities: Design and develop AI agents with goal-directed behavior and planning capabilities. Integrate LLMs, multi-agent systems, and reinforcement learning approaches. Conduct experiments and iterate based on empirical evaluation of agent performance. Work closely with product teams to deploy real-world AI solutions. Contribute to the development of safe, interpretable, and ethical agentic systems. Requirements: Proven experience working with AI agents, autonomous systems, or related fields. Strong understanding of large language models (e.g., GPT, Claude, LLaMA) and their integration with agent frameworks. Proficiency in Python and relevant AI/ML libraries (e.g., LangChain, OpenAI API, HuggingFace, PyTorch). Familiarity with agentic AI architectures (e.g., ReAct, AutoGPT, OpenAgents, or custom multi-agent systems). Experience with planning, reasoning, and memory modules. Excellent problem-solving and communication skills. Degree in Computer Science, Artificial Intelligence, or a related field (or relative experience) Preferred Qualifications: Experience deploying AI agents in production environments. Knowledge of symbolic reasoning, cognitive architectures, or goal-oriented planning. Contributions to open-source agentic AI projects. Understanding of AI ethics, safety, and alignment. What We Offer: Competitive salary and benefits package. Flexible work schedule and remote work options. Access to cutting-edge compute resources and research collaborations. Opportunity to work on high-impact projects in a fast-growing space. A culture of innovation, autonomy, and continuous learning. How to Apply: Please send your CV, a brief cover letter, and (if available) links to any relevant projects or GitHub profiles. Applications are reviewed on a rolling basis.

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.

Job Summary: We are seeking an experienced and driven Sales Specialist to join our growing team in the UK market. The ideal candidate will have a deep understanding of the electronics sector and proven experience in B2B/B2C sales, customer relationship management, and market expansion. Key Responsibilities: - Identify, develop, and close sales opportunities within the electronics market across the UK. - Build and maintain strong relationships with existing and potential clients (retailers, wholesalers, distributors, OEMs). - Promote and present electronic product solutions to meet customer needs. - Collaborate with product and marketing teams to tailor offerings based on market demands. - Attend trade shows, expos, and networking events to build brand presence. - Achieve monthly, quarterly, and annual sales targets and KPIs. - Monitor market trends, competitor activity, and customer feedback to drive continuous improvement. - Prepare and submit regular reports on sales performance and forecasts. Requirements: - Bachelor’s degree in Business, Electronics, Engineering, or a related field. - Minimum 3–5 years of sales experience in the electronics or technology sector. - Strong understanding of UK electronics market and distribution channels. - Excellent communication, negotiation, and interpersonal skills. - Self-motivated with a results-driven approach. - Proficiency in CRM tools and Microsoft Office Suite. - Willingness to travel across the UK as required. Preferred Qualifications: - Experience selling consumer electronics, semiconductors, or industrial electronic components. - Existing client portfolio or contacts within the UK electronics industry.