Full-Time

AI/ML and Prompt Engineer LLM

RAG & Voice Agent

QuantumLoopAI

QuantumLoopAI

11-50 employees

AI receptionist for NHS primary care

No salary listed

London, UK

Remote

Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST).

Category
AI & Machine Learning (2)
,
Required Skills
LLM
Microsoft Azure
Python
React.js
MySQL
Nest.js
Machine Learning
GraphQL
Docker
RAG
Microservices
Next.js
REST APIs

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Requirements
  • Demonstrable hands-on experience with prompt engineering, large language models such as GPT, LLaMA, and Mistral, retrieval-augmented generation frameworks, and voice-agent or dialogue-system design, evidenced by 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 App Services, Azure Functions, Azure Cognitive Services, Docker containerization, and MySQL relational databases.
  • Experience designing microservices, distributed architectures, and RESTful or GraphQL application programming interfaces.
  • Ability to communicate complex artificial intelligence and voice-agent concepts to technical and non-technical stakeholders.
  • Ability to work remotely and collaborate asynchronously with a United Kingdom-based team during United Kingdom business hours, from 9:00 AM to 6:00 PM GMT/BST.
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 maximize response relevance, reduce latency, and ensure clinical safety across text and voice channels.
  • Partner with frontend teams using Next.js and React and backend teams using NestJS and Python to integrate artificial intelligence and voice-agent components into an Azure-hosted microservices architecture.
  • Instrument artificial intelligence and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.
  • Stay current with advances in large language models, retrieval-augmented generation, conversational artificial intelligence frameworks, GDPR, and DTAC to inform the technical roadmap.
  • Define and execute rigorous test plans with quality assurance to validate model accuracy, voice-agent performance, and compliance with healthcare standards.
  • Mentor junior engineers and advocate for best practices in machine learning operations, prompt engineering, voice-agent design, and model governance.
Desired Qualifications
  • Contributions to open-source large-language-model or retrieval-augmented-generation tooling.
  • Experience with machine learning operations pipelines, model monitoring, and automated evaluation frameworks.
  • Background in speech-to-text, text-to-speech, or telephony integration.

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

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

2023

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Simplify Jobs

Simplify's Take

What believers are saying

  • Colindale Medical Centre launched EMMA in May 2026, validating live NHS adoption.
  • QuantumLoopAI says practices save 15 work days weekly and cut costs 80%.
  • The company raised more than £6m by March 2026, funding expansion.

What critics are saying

  • X-on Surgery Assist and InTouchNow attack the same NHS phone-queue budget.
  • A DTAC, GDPR, or clinical-safety failure stops deployments across NHS practices.
  • Single-product dependence makes one procurement reversal existential by 2027.

What makes QuantumLoopAI unique

  • EMMA targets NHS GP surgeries only, integrating Accurx and primary-care workflows.
  • QuantumLoopAI claims DTAC certification and over 2 million NHS patients served.
  • SOPHIA and NINA extend EMMA across SMS follow-up and website chat.

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Benefits

Remote Work Options

Stock Options

Conference Attendance Budget

Professional Development Budget

Growth & Insights

Headcount

6 month growth

-9%

1 year growth

16%

2 year growth

7%