Role Description We are looking for a Technical Lead with 8+ years of experience in full-stack engineering (backend heavy) to lead architecture, development and technical strategy across our distributed systems and AI initiatives. You will work directly with the Co-Founder, translating product vision into technical execution, guiding a distributed engineering team, and driving the integration of cutting-edge AI capabilities into a production platform that is scaling fast. What You Will Do - Technical Leadership and Architecture - Lead 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. - AI/ML and Prompt Engineering - Design, build and maintain AI/ML-powered systems including chatbots, voice agents, RAG pipelines and multi-agent architectures. - Own prompt engineering practices across the platform — crafting, testing, versioning and optimising prompts for LLMs. - 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. - Leverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks to build intelligent, data-driven experiences. - Champion the use of modern AI development tooling across the engineering team. - Voice AI: STT, TTS and Telephony - Lead architecture and integration of Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines for real-time voice AI applications. - Evaluate and integrate providers such as Deepgram, ElevenLabs, Azure Speech and Whisper. - Build and optimise end-to-end voice agent flows: ASR to LLM to TTS with low-latency streaming and graceful fallback handling. - Integrate with telephony platforms such as Twilio, Vonage, LiveKit or SIP/PSTN-based systems. - Infrastructure and DevOps - Own cloud infrastructure strategy on Azure. - Architect for high availability, auto-scaling and fault tolerance. - Manage CI/CD pipelines, containerisation, secrets management and deployment automation. - Maintain and optimise MySQL and cloud data services. - Establish infrastructure-as-code practices and enforce security best practices. - Implement robust observability: distributed tracing, structured logging, alerting and dashboards. - Full Stack Engineering - Drive backend development while ensuring smooth frontend integration using React, Next.js and modern UI frameworks. - Deliver clean, maintainable, testable and well-documented code. - Team Leadership - Work directly with the Co-Founder to translate product vision into a clear technical roadmap. - Communicate complex technical concepts clearly to non-technical stakeholders. - Lead, mentor and upskill engineers across multiple teams. - Collaborate with PMs, BAs and designers to ensure technical feasibility, clear scope and timely delivery. - Foster a culture of ownership, transparency and continuous improvement. Qualifications - 8+ years of experience in software engineering 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 LLM deployment in production environments. - Practical experience with STT and TTS technologies. - Deep knowledge of cloud infrastructure — particularly Azure. - Experience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms. - Solid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code. - Expertise in building secure, scalable RESTful and GraphQL APIs. - Excellent knowledge of authentication, authorisation and data security best practices. - Outstanding communication skills. - Proven ability to lead technical teams, set engineering direction and mentor developers. - Comfortable working remotely and aligning to UK business hours. Desirable - Telephony experience: Twilio, Vonage, LiveKit, SIP/PSTN, IVR design or call centre infrastructure. - Experience with data pipelines, ETL or real-time data streaming. - Familiarity with AI operations (MLOps), model evaluation frameworks and A/B testing. - Advanced experience with Azure Kubernetes Service, CosmosDB and API Management. - Demonstrated success in building and scaling high-traffic, data-intensive platforms. - Experience working in regulated industries where compliance and data governance are important. Logistics - Education: We value skills and experience over formal qualifications. - Working arrangements: Fully remote from India, aligned to UK business hours. - Start date: Flexible. What We Offer - Competitive package depending on experience. - Potential share options. - Professional development including conference attendance and CPD support. - The opportunity to define the technical direction of a platform that is scaling fast. - Direct partnership with the Co-Founder on product and technical strategy. - Remote working with a collaborative, high-ownership engineering culture. Diversity and Inclusion We believe diverse teams build better products. We welcome applications from candidates of all backgrounds, and we are committed to creating an inclusive environment where everyone can do their best work. Recruitment Safety Notice QuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses. Come Work With Us Ready to lead the engineering behind one of the UK's fastest-growing AI platforms? We would love to hear from you. Questions about this role? Contact careers@quantumloopai.com