Job Title: Senior Prompt & AI/ML Engineer – Chatbot LLM & RAGOverview At QuantumLoopAI , we’re redefining customer engagement in healthcare with EMMA , the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation.Responsibilities Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA , directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. About QuantumLoopAI QuantumLoopAI is the UK’s market-leading provider of AI-powered telephony, voice agent and chatbot solutions for primary care. Our flagship product, EMMA , streamlines patient communications, slashes call-handling costs by up to 80%, and aligns seamlessly with NHS systems and regulations. Join us in our mission to transform healthcare access through intelligent automation. Ready to transform patient care with AI? Apply now at www.quantumloopai.com/careers. Show more Show less
Job Title: Prompt & AI/ML Engineer – Chatbot LLM & RAGOverview At QuantumLoopAI , we’re redefining customer engagement in healthcare with EMMA , the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation.Responsibilities Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA , directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. About QuantumLoopAI QuantumLoopAI is the UK’s market-leading provider of AI-powered telephony, voice agent and chatbot solutions for primary care. Our flagship product, EMMA , streamlines patient communications, slashes call-handling costs by up to 80%, and aligns seamlessly with NHS systems and regulations. Join us in our mission to transform healthcare access through intelligent automation. Ready to transform patient care with AI? Apply now at www.quantumloopai.com/careers.
Job description Job Overview : Automation and Manual combined The successful candidate will be working as a member of the Global IT Project Delivery Team We are looking for an innovative and creative Quality Assurance Analyst for the new cutting-edge projects within PropertyLoop. You will need to make sure that testing is well defined, planned and executed. You will do this by ensuring that every phase and feature of the software solution is tested and that any potential issue is identified and fixed before the product goes live. You will be expected to work under nominal supervision and manage your own activities on a day-to-day basis. You will have good communication skills and feel comfortable in the use of teleconferencing and videoconferencing channels to communicate with globally dispersed teams. Role: Creating test strategies, test cases and plans and executing those plans to ensure that delivered software is consistently of desired quality Producing documentation i.e. release notes Assisting in the roll out and support of applications that you have tested to ensure quality is maintained across environments R&D into testing solutions Work in a matrix managed, fast paced Technology team helping drive the delivery quality of your team and the entire department forward. To actively take part in sprint activities Supporting the development of test plans Creation of tests – both manual and automated Reviewing of stories, code and tests of your peers Execution of tests at all stages of the lifecycle Be part of a cross functional team, who collectively take responsibility for the deliverables and quality. Contribute to the continued improvement of the QA test strategy and process Be aware of and understand the impact to QA of any new technologies being introduced Expected to learn and stay up to date in both the QA and technology areas Guide and mentor within the team and provide feedback to the line managers around performance and reviews. Requirements: A Degree or similar level qualification. Experience of Automation with Selenium Experience of working with globally dispersed teams Experience of working with Agile methodologies Experienced in Quality Management software and processes Experience in BDD frameworks (e.g. Specflow/Cucumber) Knowledge of WCAG 2.0, penetration testing and performance testing. Understanding of configuration management with regard to deployments Understands the benefits and differences between UI/API/Integration and Unit testing Experience of Agile processes and able to write User Stories, Bugs, Tasks and Test Cases in Azure DevOps Knowledge of automated testing including unit tests, coded UI, ordered tests, generic tests and load tests Previous programming experience and knowledge preferred Previous hands on testing experience in functional testing, browser compatibility testing, device testing, smoke testing, Operational Testing, 3rd Party Integration Testing, security testing. Enthusiastic- excited about technology, your projects and your team Able to take sensible risks and fail quickly Able to deliver results under pressure whilst managing ambiguity and completing priorities in a face paced environment Excellent written and verbal communication skills with the ability to adjust your style and content to suit audiences at all levels, translating between technical and non- technical audiences; as necessary Able to create test strategies, plans and tests that can be easily communicated to developers and stakeholders
Job Title: Prompt & AI/ML Engineer – Chatbot LLM & RAGOverview At QuantumLoopAI , we’re redefining customer engagement in healthcare with EMMA , the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation.Responsibilities Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA , directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. About QuantumLoopAI QuantumLoopAI is the UK’s market-leading provider of AI-powered telephony, voice agent and chatbot solutions for primary care. Our flagship product, EMMA , streamlines patient communications, slashes call-handling costs by up to 80%, and aligns seamlessly with NHS systems and regulations. Join us in our mission to transform healthcare access through intelligent automation. Ready to transform patient care with AI? Apply now at www.quantumloopai.com/careers.