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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.

Are you looking to kick-start a new career in Ai? We are recruiting for companies who are looking to employ our Ai Engineer Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: How It Works Step 1: Introduction to AI Start with beginner-friendly, bite-sized courses designed to build your foundational knowledge in AI. You’ll learn through interactive videos, quizzes, and tutorials covering key AI concepts and applications. Step 2: Full‑Stack AI Training Progress into in-depth training covering: Python programming for AI Data handling and processing Machine learning fundamentals Version control with Git & GitHub You’ll work on mini-projects throughout this stage, applying your new skills to practical tasks as you learn. Step 3: Certification Prepare for and pass the Microsoft AI-900: Azure AI Fundamentals exam — a globally recognised certification that proves your understanding of AI workloads and responsible AI principles, boosting your credentials with employers. Step 4: Real‑World Projects Complete two real-world AI projects assigned by your tutor to demonstrate your practical capabilities and build a professional portfolio. Once both projects are approved, you’ll be fully portfolio-ready and prepared to enter the industry. Your Career Path Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Ai role, where you will be guaranteed a starting salary of £25K-£45K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. We guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees back. We have a proven track record of placing 1000+ candidates into new roles each year. Check out our website for our latest success stories. Interested in a future-proof career in AI? Apply now, and one of our friendly advisors will reach out to guide you through the process.

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.

Software Engineer/DevOps Engineer City of London £Competitive plus strong bonus and benefits Azure, Terraform, Data Tooling DevOps Engineer is sought to join a highly prestigious financial services organisation. This is a key role that will see you taking responsibility for developing Microsoft Fabric related DevOps processes, ensuring the correct balance between environmental control and ensuring Data Engineering teams have the flexibility to work efficiently. You will create bespoke modules in Terraform and actions in GitHub (or Azure DevOps) to support CI/CD workflows. You will also liaise with teams across the business to ensure the platform meets all security and performance requirements. Key Responsibilities Develop standards and strategies to manage the deployment of assets into the Microsoft Fabric ecosystem. Where required create custom actions in GitHub/Azure DevOps that use the Microsoft Fabric APIs. Where required create custom terraform modules to ensure Microsoft Fabric configuration is held as infrastructure as code. Work with Data Engineers to create the development environments engineers will use to develop and deploy products in Microsoft Fabric. Work with data owners around the business to ensure source data systems can be securely accessed. Ensure security best practices are followed. BCP/DR strategy. Work with other members of the central platform team to monitor the Microsoft Fabric feature roadmap and integrate new features into the established eco-system. Work with other members of the central platform team to define an efficient project process to deliver new data products. Key Technical Skills and Experience Terraform Modules Infrastructure as code GitHub/Azure DevOps Azure Data Factory Azure Synapse CI/CD including Databases Databricks GitHub Actions/Azure DevOps Tasks Monitoring in Azure Release Management Experience Microsoft Fabric (not essential) Curious to learn new sectors like AI, ML (Not essential) Minimum 6 years working in a cloud environment managing data engineering products.

About NanoX Tech Solutions NanoX is a fast-growing technology consultancy (est. 2025) that builds custom software, AI-driven data products and cloud solutions for startups and SMEs. We’re a micro-company headquartered in the UK with a globally distributed, autonomy-first culture. Why we’re hiring Our inbound interest is strong, but we need a hunter who can turn leads into signed statements of work and long-term accounts. You’ll be among our first ten hires in the UK, laying the foundation for NanoX’s revenue engine. Role overview Own end-to-end business development: identify prospects, craft solution narratives, close deals and create repeatable processes that scale across the UK & EMEA. Key responsibilities Pipeline generation – Map target verticals (fintech, e-commerce, healthtech, climate tech) and run multi-channel outbound. Solution selling – Lead discovery sessions, translate business problems into NanoX solutions, and draft proposals/SOWs. Partnerships – Build channel and referral networks (e.g., AWS, Azure, niche SaaS). Market intelligence – Track competitor moves and pricing trends to refine our GTM narrative. Process & reporting – Stand up a lightweight CRM cadence, forecast revenue and report KPIs to leadership. Compensation & benefitsComponentDetailsCommission (core pay)4.5 % of the gross revenue on every successful deal you close. Paid monthly when the customer pays us.Performance incentivesAd-hoc cash or e-voucher bonuses for surpassing quarterly targets.Company goodiesQuarterly swag drops (devices, branded merch, etc.).Paid leave28 days of holiday per year, plus UK public holidays.Sponsored retreatOne fully funded company holiday each year (location voted by the team).ProgressionClear path to Head of Growth once you demonstrate sustained quota over-achievement and build the first sales pod.Important: This is a commission-only position with no fixed base salary. It’s designed for high-energy closers who prefer upside over low-risk guarantees.Must-have experience & skills 3-6 yrs B2B sales/biz-dev in software consulting, SaaS or IT services. Consistent record of closing £250k + contracts or hitting £500k+ annual quota (proof required). Comfortable explaining technical concepts (cloud, APIs, AI/ML) to non-technical buyers. Consultative selling, proposal writing and negotiation prowess. Startup mindset: self-directed, resilient, thrives on ambiguity. Excellent spoken/written English and UK work authorisation. Nice-to-have Existing network in our focus verticals. Familiarity with early-stage GTM tools (HubSpot, Apollo, Navattic, etc.). Additional European language. Success metrics (first 12 months) Closed-won revenue: ≥ £750k. Opportunity→deal conversion: ≥ 25 %. Partnerships signed: ≥ 3 strategic alliances. Forecast accuracy: ± 10 % on a rolling 90-day view. Hiring process Intro call (15 min) with People Ops Deep-dive (60 min) with Managing Director (deal walk-through + Q&A) Practical exercise: 24-h async GTM mini-plan for a sample prospect Culture interview with cross-functional panel Offer Think a commission-only model with uncapped upside is your natural habitat? Job Types: Full-time, Part-time Expected hours: No more than 50 per week Additional pay: Commission pay Performance bonus Quarterly bonus Yearly bonus Benefits: Work from home Schedule: Monday to Friday Overtime Weekend availability Work Location: Remote

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!