Q

QuantumLoopAI

AI receptionist for NHS primary care

AI/ML & Prompt Engineer LLM - RAG & Voice Agent

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Demonstrable hands-on experience with prompt engineering, large language models (such as GPT, LLaMA, or Mistral), retrieval-augmented generation frameworks, and voice-agent or dialogue-system design, demonstrated through shipped projects or open-source contributions.
  • Advanced proficiency in Python for machine learning and artificial intelligence development.
  • Experience building application programming interfaces in NestJS and familiarity with Next.js and React for frontend integration.
  • Strong understanding of Azure services, including App Services, Functions, and Cognitive Services; Docker containerization; and MySQL relational databases.
  • Experience designing microservices, distributed architectures, and RESTful or GraphQL application programming interfaces.
  • Excellent written and verbal communication skills, including the ability to explain complex AI and voice-agent concepts to technical and non-technical stakeholders.

Responsibilities

  • Architect and deploy large language model- and retrieval-augmented generation-based systems that ingest data sources, generate accurate responses, and power chatbot and voice-agent interactions.
  • Design, iterate, and optimize prompts and voice-agent dialogue flows to improve response relevance, reduce latency, and ensure clinical safety across text and voice channels.
  • Partner with frontend and backend teams to integrate AI and voice-agent components into the Azure-hosted microservices architecture.
  • Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.
  • Stay current on advances in large language models, retrieval-augmented generation, conversational AI frameworks, GDPR, and DTAC to inform the technical roadmap.
  • Define and execute test plans 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.

Desired Qualifications

  • Contributions to open-source large language model or retrieval-augmented generation tooling.
  • Experience with MLOps pipelines, model monitoring, and automated evaluation frameworks.
  • Background in speech-to-text, text-to-speech, or telephony integration.

About the Company

QuantumLoopAI

AI receptionist for NHS primary care

EMMA by QuantumLoopAI is an AI receptionist designed for NHS primary care. It answers patient calls during GP surgery hours instantly, with no queue or hold music. EMMA handles both clinical and administrative inquiries, triages to the right outcome, and integrates with NHS tools like Accurx. It is used across hundreds of GP surgeries and PCNs, serving over 2 million NHS patients. This reduces call-handling costs (up to about 80%) and improves patient access and satisfaction, while easing pressure on reception staff. QuantumLoopAI emphasizes NHS clinical safety, DTAC certification, and alignment with NHS standards. The company’s goal is to make primary care more accessible, efficient, and sustainable by eliminating phone bottlenecks and letting reception teams focus on in-person patient care.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2023

Recently Posted Jobs

Explore more opportunities at QuantumLoopAI

See more jobs