QuantumLoopAI

Role Description We are looking for a Junior Admin Operations Associate to support the day-to-day operations behind our AI platform. This role is ideal for someone at the start of their career who enjoys structured, detail-focused work, has strong English comprehension, and is curious about how AI-enabled systems work in practice. You do not need previous experience — we will train the right person. What matters is that you are naturally organised, accurate, reliable, and genuinely interested in learning. You will work with a cross-functional team to keep operations running smoothly and help us improve the way we work over time. What You Will Do - Support the day-to-day operational tasks that keep our platform services running reliably and consistently. - Follow structured, rule-based processes carefully and help keep them running smoothly. - Keep operational records, documentation and trackers accurate, organised and up to date. - Check your work and records for accuracy and completeness before they are finalised. - Coordinate with internal teams so requests, updates and follow-ups are handled smoothly and on time. - Spot and raise process gaps or inconsistencies clearly, and follow internal steps to get them resolved. - Contribute feedback and ideas to improve processes, wording and ways of working over time. - Maintain a high standard of attention to detail across recurring operational activities. Qualifications - Strong English reading and writing comprehension — you can follow written instructions precisely, draft clear updates, and communicate confidently in UK English. - High attention to detail and a structured, logical approach to work — you naturally spot errors and inconsistencies. - Comfortable following step-by-step processes and working with rule-based workflows. - Genuine interest in AI, automation, or modern technology products — basic familiarity is enough, enthusiasm to learn is what matters. - Quick learner with good problem-solving and communication skills. - Confident using computers and everyday digital tools (email, spreadsheets, documents, messaging). - Comfortable working remotely and aligning to UK business hours (9:00 AM to 6:00 PM GMT/BST). Requirements - Any exposure to operations, customer support, administration, or process-driven environments. - Familiarity with documentation, data entry, or structured record-keeping work. - Comfort working with structured data or simple dashboards. - Experience using tools such as Excel, Google Sheets, CRMs, or project management platforms. - Experience working in a startup or fast-paced business environment. Benefits - Competitive package depending on experience. - Potential share options. - Full training on all systems and processes — no prior experience required. - Professional development including conference attendance and CPD support. - The opportunity to join one of the UK's fastest-growing healthtech companies at an early stage. - Remote working with a collaborative, supportive team. - Clear room to grow as the company scales. Company Description QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a highly organised, detail-driven Junior Accounts and Finance Administrator to join our growing team. This is an ideal opportunity for someone who is exceptionally strong with systems, data accuracy and administration — even if you do not have formal finance experience. We are happy to train the right person. This is not a traditional accounting role. The focus is on client invoicing, financial administration, CRM data accuracy, payment tracking and process management. You will work across multiple systems including Xero, HubSpot CRM, Stripe, GoCardless, Revolut and Excel, ensuring that everything is accurate, on time and properly documented. You will regularly communicate with internal sales teams, operations teams, external clients and finance contacts. This role requires someone who is extremely process-driven, calm under pressure and highly reliable. WHAT YOU WILL DO - Raise and issue accurate client invoices using Xero. - Chase overdue invoices and follow up on outstanding balances with clients professionally. - Track payment statuses across Stripe, GoCardless, Revolut and bank records. - Update invoice and payment records within HubSpot CRM. - Maintain highly accurate client finance data and line items across all systems. - Cross-check sales data against invoicing instructions and flag discrepancies. - Ensure all CRM fields and finance records are correctly updated at all times. - Liaise with internal sales teams regarding billing queries and client account details. - Communicate professionally with clients regarding invoices, payments and account queries. - Draft clear and professional finance-related emails. - Maintain organised Excel trackers, reporting sheets and reconciliation documents. - Escalate discrepancies, missing data or client issues promptly. - Follow strict internal processes and standard operating procedures. - Support finance and operations teams with general administrative tasks.

ABOUT QUANTUMLOOPAI QuantumLoopAI is transforming how patients access healthcare. Our AI-powered reception system, EMMA, serves millions of patients, helping GP surgeries manage demand, reduce phone queues, and ensure patients get the right care at the right time. Backed by leading healthcare investors and working with stakeholders across England, we are building the future of primary care access. As we prepare for our Series A and expand our team, we are looking for exceptional people who want to make a genuine difference to healthcare. ABOUT THE ROLE As our AI/ML & Prompt Engineer, you will own the intelligence behind EMMA — the LLM and RAG systems that power our chatbot, voice agent and telephony services. You will design, build and optimise the AI models and prompt architectures that allow EMMA to understand patient needs, retrieve accurate clinical information, and respond naturally across text and voice channels. This is a hands-on, high-impact role where your work will directly shape patient outcomes across hundreds of GP surgeries. WHAT YOU WILL DO - Architect and deploy LLM- and RAG-based systems that ingest data sources, generate accurate responses, and power both chatbot and voice agent interactions. - Design, iterate and optimise prompts and voice-agent dialogue flows to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. - Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. - Instrument AI and voice-agent pipelines, analyse logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. - Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and (GDPR, DTAC) to inform our technical roadmap. - Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. - Mentor junior engineers and advocate for best practices in MLOps, prompt engineering, voice-agent design and model governance.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a Technical Lead with 8+ years of experience in full-stack engineering (backend heavy) to lead architecture, development and technical strategy across our distributed systems and AI initiatives. You will work directly with the Co-Founder, translating product vision into technical execution, guiding a distributed engineering team, and driving the integration of cutting-edge AI capabilities — including LLM orchestration, voice agents, speech-to-text and text-to-speech pipelines — into a production platform that is scaling fast. This role requires someone who can operate at the intersection of engineering leadership and hands-on delivery. You will set the technical direction, define architecture, and actively build — while mentoring engineers, shaping culture and challenging decisions at the highest level. WHAT YOU WILL DO - Technical Leadership and Architecture - Lead design and implementation of scalable backend systems using Node.js, TypeScript and microservice architectures. - Define and enforce coding standards, design principles and architecture guidelines across the engineering team. - Ensure platform scalability, reliability and security through robust design and proactive system monitoring. - Architect end-to-end AI-powered features from prototype to production, balancing speed with engineering rigour. AI/ML and Prompt Engineering - Design, build and maintain AI/ML-powered systems including chatbots, voice agents, RAG pipelines and multi-agent architectures. - Own prompt engineering practices across the platform — crafting, testing, versioning and optimising prompts for LLMs (OpenAI, Azure OpenAI and open-source models). - Implement evaluation frameworks to measure LLM output quality, hallucination rates, latency and cost. - Integrate AI models into production environments and manage model lifecycle, versioning and observability. - Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences. - Champion the use of modern AI development tooling (Cursor, GitHub Copilot, Claude) across the engineering team. Voice AI: STT, TTS and Telephony - Lead architecture and integration of Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines for real-time voice AI applications. - Evaluate and integrate providers such as Deepgram, ElevenLabs, Azure Speech and Whisper — balancing latency, accuracy, cost and voice quality. - Build and optimise end-to-end voice agent flows: ASR to LLM to TTS with low-latency streaming and graceful fallback handling. - Where applicable, integrate with telephony platforms such as Twilio, Vonage, LiveKit or SIP/PSTN-based systems — including call routing, IVR design and inbound/outbound call orchestration. Infrastructure and DevOps - Own cloud infrastructure strategy on Azure — including AKS, App Services, Azure Functions, networking and cost governance. - Architect for high availability, auto-scaling and fault tolerance. Define SLOs and drive reliability improvements. - Manage CI/CD pipelines, containerisation (Docker, Kubernetes), secrets management and deployment automation. - Maintain and optimise MySQL and cloud data services (CosmosDB, Firebase, Data Lake). Ensure query performance and cost efficiency at scale. - Establish infrastructure-as-code practices (Terraform, Bicep or equivalent) and enforce security best practices. - Implement robust observability: distributed tracing, structured logging, alerting and dashboards. Full Stack Engineering - Drive backend development while ensuring smooth frontend integration using React, Next.js and modern UI frameworks. - Deliver clean, maintainable, testable and well-documented code. Uphold high standards through code reviews. Team Leadership - Work directly with the Co-Founder to translate product vision into a clear technical roadmap — providing candid perspectives and proactively flagging risks. - Communicate complex technical concepts clearly to non-technical stakeholders. - Lead, mentor and upskill engineers across multiple teams. Conduct regular code reviews and knowledge-sharing sessions. - Collaborate with PMs, BAs and designers to ensure technical feasibility, clear scope and timely delivery. - Foster a culture of ownership, transparency and continuous improvement.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a Quality Assurance Engineer to join our growing engineering team. This is a hands-on role combining both automation and manual testing. You will be responsible for ensuring that every feature and release meets our quality bar before it reaches production — defining test strategies, building automated test suites, and catching issues before our users do. You will work closely with developers, product owners and business analysts in a fast-paced agile environment, taking ownership of quality across the full software delivery lifecycle. WHAT YOU WILL DO - Create test strategies, test plans and test cases, and execute them to ensure delivered software consistently meets quality standards. - Design, build and maintain automated tests using Selenium and BDD frameworks such as Cucumber or SpecFlow. - Execute manual testing across functional, browser compatibility, device, smoke, integration and regression scenarios. - Review user stories, acceptance criteria, code and tests produced by peers to ensure completeness and quality. - Actively participate in sprint ceremonies including planning, stand-ups, reviews and retrospectives. - Assist in the rollout and post-release support of applications to ensure quality is maintained across environments. - Produce and maintain documentation including test reports and release notes. - Contribute to the continuous improvement of QA processes, test strategy and tooling across the team. - Collaborate with a cross-functional team who collectively take responsibility for deliverables and quality. - Stay current with emerging QA tools, testing approaches and technologies, and bring actionable recommendations to the team.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a Junior Business Analyst / Project Coordinator to join our growing team. This is a hybrid role that combines business analysis with project coordination. You will help translate business requirements into actionable work, support product delivery, and ensure smooth communication between internal teams and external clients. This is a great opportunity for someone early in their career who wants hands-on experience across operations, product delivery and client-facing work in a fast-moving AI startup. WHAT YOU WILL DO - Gather, document and analyse business and user requirements from internal stakeholders and external clients. - -Support the coordination of product implementations, onboarding and go-lives for new clients. - Maintain and update project plans, trackers and status reports, flagging risks and blockers early. - Assist in creating user stories, acceptance criteria and work items in Azure DevOps. - Liaise between engineering, product and client-facing teams to ensure alignment on priorities and timelines. - Help produce client-facing documentation including release notes, user guides and training materials. - Support CRM and ticket management workflows using tools such as HubSpot and Azure DevOps. - Contribute to process improvement initiatives across operations and delivery. - Attend client calls and internal stand-ups, capturing actions and following up on outcomes.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a hands-on HubSpot CRM Implementation Assistant to work closely with one of our founders on a full-time, short-term contract. Your role will be to execute tasks inside HubSpot to bring our CRM vision to life — building sales pipelines, automations, workflows, integrations and reports that will underpin how our sales, customer service and account management teams operate. This is not a marketing or website role. The focus is purely on CRM, sales operations, customer service and account management workflows. This role is execution-heavy — we know what we want, we have in-house engineers, and we will give you clear direction. You will be responsible for making things happen quickly and correctly inside HubSpot. This is a 1-month full-time contract with the possibility of extension up to 3 months. We need someone who can start immediately and commit fully to UK business hours. WHAT YOU WILL DO - Work closely with leadership to understand requirements and translate them into HubSpot builds. - Configure and customise sales pipelines tailored to our sales process. - Create and manage automations, workflows and sequences for sales and customer operations. - Set up reporting dashboards and tracking for performance monitoring across teams. - Assist with HubSpot integrations including internal tools, APIs and third-party applications. - Support minor custom coding or technical adjustments where needed. - Build and manage custom properties, lead routing, deal stages and lifecycle management. - Document all processes, configurations and workflows to ensure a smooth handover to our team at the end of the contract.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This is a hands-on role focused on building, securing and optimising the platform that underpins everything we do — from access control and monitoring to scalability, cost governance and deployment automation. You will establish best practices, mentor the engineering team on infrastructure and DevOps topics, and ensure our cloud environment is robust, observable and cost-efficient as we scale. This role has an immediate focus on infrastructure setup, monitoring and optimisation, with longer-term ownership of our cloud strategy as the platform grows. WHAT YOU WILL DO RBAC and Access Management - Design and implement robust Role-Based Access Control (RBAC) policies across our Azure environment. - Set up and manage users, groups and service principals to ensure secure, least-privilege access to all Azure resources. Monitoring and Observability - Build dashboards to monitor performance, utilisation and health of Azure resources, providing actionable insights to the engineering team. - Implement centralised logging and telemetry solutions using Azure Monitor, Application Insights and related tooling. - Set up proactive alerting to detect and resolve potential issues before they impact users. Scalability and Performance - Architect and implement scalable infrastructure to handle increasing workloads as the platform grows. - Optimise infrastructure and application performance for maximum reliability and responsiveness. Cost Governance - Analyse resource utilisation, identify waste and recommend cost-saving measures. - Ensure cost-efficient deployment, scaling and lifecycle management of Azure resources. DevOps and Automation - Own and improve CI/CD pipelines, containerisation (Docker, Kubernetes) and deployment automation. - Establish infrastructure-as-code practices using Terraform, Bicep or equivalent tooling. - Enforce security best practices across all environments. Technical Leadership - Establish and promote best practices for Azure infrastructure and DevOps processes across the engineering team. - Provide guidance and mentorship to team members on cloud architecture, security and operational excellence.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This is a hands-on role focused on building, securing and optimising the platform that underpins everything we do — from access control and monitoring to scalability, cost governance and deployment automation. You will establish best practices, mentor the engineering team on infrastructure and DevOps topics, and ensure our cloud environment is robust, observable and cost-efficient as we scale. This role has an immediate focus on infrastructure setup, monitoring and optimisation, with longer-term ownership of our cloud strategy as the platform grows. WHAT YOU WILL DO RBAC and Access Management - Design and implement robust Role-Based Access Control (RBAC) policies across our Azure environment. - Set up and manage users, groups and service principals to ensure secure, least-privilege access to all Azure resources. Monitoring and Observability - Build dashboards to monitor performance, utilisation and health of Azure resources, providing actionable insights to the engineering team. - Implement centralised logging and telemetry solutions using Azure Monitor, Application Insights and related tooling. - Set up proactive alerting to detect and resolve potential issues before they impact users. Scalability and Performance - Architect and implement scalable infrastructure to handle increasing workloads as the platform grows. - Optimise infrastructure and application performance for maximum reliability and responsiveness. Cost Governance - Analyse resource utilisation, identify waste and recommend cost-saving measures. - Ensure cost-efficient deployment, scaling and lifecycle management of Azure resources. DevOps and Automation - Own and improve CI/CD pipelines, containerisation (Docker, Kubernetes) and deployment automation. - Establish infrastructure-as-code practices using Terraform, Bicep or equivalent tooling. - Enforce security best practices across all environments. Technical Leadership - Establish and promote best practices for Azure infrastructure and DevOps processes across the engineering team. - Provide guidance and mentorship to team members on cloud architecture, security and operational excellence.

ABOUT QUANTUMLOOPAI QuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery. ABOUT THE ROLE We are looking for a senior Azure DevOps / Infrastructure Engineer to take ownership of our Azure cloud infrastructure. This is a hands-on role focused on building, securing and optimising the platform that underpins everything we do — from access control and monitoring to scalability, cost governance and deployment automation. You will establish best practices, mentor the engineering team on infrastructure and DevOps topics, and ensure our cloud environment is robust, observable and cost-efficient as we scale. This role has an immediate focus on infrastructure setup, monitoring and optimisation, with longer-term ownership of our cloud strategy as the platform grows. WHAT YOU WILL DO RBAC and Access Management - Design and implement robust Role-Based Access Control (RBAC) policies across our Azure environment. - Set up and manage users, groups and service principals to ensure secure, least-privilege access to all Azure resources. Monitoring and Observability - Build dashboards to monitor performance, utilisation and health of Azure resources, providing actionable insights to the engineering team. - Implement centralised logging and telemetry solutions using Azure Monitor, Application Insights and related tooling. - Set up proactive alerting to detect and resolve potential issues before they impact users. Scalability and Performance - Architect and implement scalable infrastructure to handle increasing workloads as the platform grows. - Optimise infrastructure and application performance for maximum reliability and responsiveness. Cost Governance - Analyse resource utilisation, identify waste and recommend cost-saving measures. - Ensure cost-efficient deployment, scaling and lifecycle management of Azure resources. DevOps and Automation - Own and improve CI/CD pipelines, containerisation (Docker, Kubernetes) and deployment automation. - Establish infrastructure-as-code practices using Terraform, Bicep or equivalent tooling. - Enforce security best practices across all environments. Technical Leadership - Establish and promote best practices for Azure infrastructure and DevOps processes across the engineering team. - Provide guidance and mentorship to team members on cloud architecture, security and operational excellence.