Q

QuantumLoopAI

AI receptionist for NHS primary care

Technical Lead

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in India

About the Job

Requirements

  • At least 8 years of software engineering experience, with a strong focus on backend systems and architecture.
  • Proven expertise in Node.js, TypeScript, React, Next.js, and MySQL.
  • Experience designing and scaling distributed systems and microservices.
  • Strong hands-on understanding of AI/ML concepts, including model integration, prompt engineering, and production LLM deployment.
  • Practical experience with speech-to-text and text-to-speech technologies such as Deepgram, ElevenLabs, Azure Speech, or Whisper, or equivalent technologies.
  • Deep knowledge of cloud infrastructure, particularly Azure, including compute, networking, storage, and cost management.
  • Experience with Azure Cloud Services, Azure Machine Learning, or equivalent cloud platforms such as AWS or GCP.
  • Solid understanding of CI/CD pipelines, Docker, Kubernetes, and infrastructure as code.
  • Expertise building secure, scalable RESTful and GraphQL APIs.
  • Excellent knowledge of authentication, authorisation, and data security best practices.
  • Ability to lead technical teams, set engineering direction, and mentor developers.
  • Ability to work remotely while aligning to UK business hours, 9:00 AM to 6:00 PM GMT/BST.

Responsibilities

  • Lead the 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.
  • Design, build, and maintain AI/ML-powered systems, including chatbots, voice agents, retrieval-augmented generation pipelines, and multi-agent architectures.
  • Own prompt engineering practices across the platform, including crafting, testing, versioning, and optimising prompts for large language models such as OpenAI, Azure OpenAI, and open-source models.
  • Implement evaluation frameworks to measure large language model output quality, hallucination rates, latency, and cost.
  • Integrate AI models into production environments and manage model lifecycle, versioning, and observability.
  • Use Azure Machine Learning, OpenAI APIs, and multi-agent frameworks such as LangChain, AutoGen, and CrewAI to build intelligent, data-driven experiences.
  • Promote modern AI development tools such as Cursor, GitHub Copilot, and Claude across the engineering team.
  • Lead the architecture and integration of speech-to-text and text-to-speech pipelines for real-time voice AI applications.
  • Evaluate and integrate speech 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 from automatic speech recognition through a large language model to text-to-speech, with low-latency streaming and graceful fallback handling.
  • Where applicable, integrate telephony platforms such as Twilio, Vonage, LiveKit, or SIP/PSTN-based systems, including call routing, interactive voice response design, and inbound and outbound call orchestration.
  • Own cloud infrastructure strategy on Azure, including Azure Kubernetes Service, App Services, Azure Functions, networking, and cost governance.
  • Architect for high availability, auto-scaling, and fault tolerance; define service-level objectives and drive reliability improvements.
  • Manage CI/CD pipelines, containerisation with Docker and Kubernetes, secrets management, and deployment automation.
  • Maintain and optimise MySQL and cloud data services, including CosmosDB, Firebase, and Data Lake; ensure query performance and cost efficiency at scale.
  • Establish infrastructure-as-code practices using Terraform, Bicep, or equivalent, and enforce security best practices.
  • Implement observability through distributed tracing, structured logging, alerting, and dashboards.
  • Drive backend development while ensuring smooth frontend integration using React, Next.js, and modern user-interface frameworks.
  • Deliver clean, maintainable, testable, and well-documented code, and uphold standards through code reviews.
  • Work directly with the Co-Founder to translate product vision into a clear technical roadmap, provide candid perspectives, and proactively flag 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 product managers, business analysts, and designers to ensure technical feasibility, clear scope, and timely delivery.
  • Foster a culture of ownership, transparency, and continuous improvement.

Desired Qualifications

  • Experience with telephony, including Twilio, Vonage, LiveKit, SIP/PSTN, interactive voice response design, or call centre infrastructure.
  • Experience with data pipelines, ETL, or real-time data streaming technologies such as Kafka or RabbitMQ.
  • Familiarity with AI operations (MLOps), model evaluation frameworks, and A/B testing.
  • Advanced experience with Azure Kubernetes Service, CosmosDB, and API Management.
  • Demonstrated success building and scaling high-traffic, data-intensive platforms.
  • Experience working in regulated industries where compliance and data governance are important.

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

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