Technical Lead
No salary listed
Expert
Remote in India
RemoteMust align to UK business hours (9:00 AM to 6:00 PM GMT/BST).
Engineering ManagementEngineering Leadership
About the job
Requirements
- At least 8 years of software engineering experience, focused on backend systems and architecture.
- Expertise in Node.js, TypeScript, React, Next.js, and MySQL.
- Experience designing and scaling distributed systems and microservices.
- 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.
- 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.
- Understanding of CI/CD pipelines, Docker, Kubernetes, and infrastructure as code.
- Expertise building secure, scalable RESTful and GraphQL APIs.
- Knowledge of authentication, authorization, and data security best practices.
- Clear, direct, and effective communication with technical teams and senior stakeholders.
- 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 optimizing prompts for 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.
- 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, including Cursor, GitHub Copilot, and Claude, across the engineering team.
- Lead architecture and integration of speech-to-text and text-to-speech 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 optimize end-to-end voice agent flows from automatic speech recognition through LLM 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, IVR design, and inbound/outbound call orchestration.
- Own Azure cloud infrastructure strategy, including AKS, 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, containerization with Docker and Kubernetes, secrets management, and deployment automation.
- Maintain and optimize MySQL and cloud data services such as 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 UI frameworks.
- Deliver clean, maintainable, testable, and well-documented code, and uphold standards through code reviews.
- Work 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
- Telephony experience with Twilio, Vonage, LiveKit, SIP/PSTN, IVR design, or call center infrastructure.
- Experience with data pipelines, ETL, or real-time data streaming technologies such as Kafka or RabbitMQ.
- Familiarity with 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 in regulated industries where compliance and data governance are important.
About the company
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
51-200
Company Stage
N/A
Total Funding
N/A
Headquarters
London, United Kingdom
Founded
2023
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Simplify's Take
What believers are saying
- QuantumLoopAI said on March 23, 2026 it raised over £6 million and serves more than 2 million patients.
- The company is listed on the Crown Commercial Service RM6200 framework, easing NHS procurement.
- QuantumLoopAI says practices save 15 workdays weekly and go live within two to three weeks.
What critics are saying
- BBC reported EMMA failed to understand a stroke patient; Armthorpe surgery decommissioned it by August 2026.
- Healthwatch Rotherham accused EMMA of accent problems on August 19, 2026, inviting NHS scrutiny and complaints.
- If NHS practices judge EMMA inaccessible, procurement freezes spread quickly and the company loses its only market.
What makes QuantumLoopAI unique
- EMMA targets NHS GP surgeries, not generic contact centers, with telephony workflows built for primary care.
- QuantumLoopAI claims DTAC approval, DSPT compliance, and live integrations with eConsult, Accurx, ANIMA, System Connect, Rapid Health.
- The company says it answers hundreds of calls simultaneously and supports 17 languages across NHS settings.
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Benefits
- Remote Work Options
- Stock Options
- Conference Attendance Budget
- Professional Development Budget