{"id":744962,"url":"https://alion.io/job/quantumloopai-technical-lead-india-remote","title":"Technical Lead - India Remote","company":{"id":686295,"name":"QuantumLoopAI","domain":"quantumloopai.com","url":"https://alion.io/company/quantumloopai","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"D","score":46,"open_postings":21,"ghost_share":0.905,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"GMT","utc_offset_min":0,"utc_offset_max":0},"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Cosmos DB","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"CrewAI","optional":false},{"name":"Cursor","optional":false},{"name":"Deepgram","optional":false},{"name":"Docker","optional":false},{"name":"Edge AI","optional":false},{"name":"ElevenLabs","optional":false},{"name":"Firebase","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Hallucination","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LiveKit","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Terraform","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Twilio","optional":false},{"name":"TypeScript","optional":false},{"name":"Voice Agents","optional":false},{"name":"Whisper","optional":false},{"name":"A/B Testing","optional":true},{"name":"Apache Kafka","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"RabbitMQ","optional":true}],"status":"live","first_seen_at":"2026-04-02T00:00:00Z","employer_posted_date":"2026-04-02","last_verified_at":"2026-09-30T14:40:01Z","board_verified":true,"closed_at":null,"days_open":182,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":181},"description":"ABOUT QUANTUMLOOPAI\nQuantumLoopAI is one of the UK's fastest-growing healthtech companies. Our AI-powered platform, EMMA, is used by hundreds of organisations across the UK to manage communications, automate workflows and deliver better outcomes through intelligent automation. Backed by leading investors and scaling rapidly ahead of our Series A, we are building the infrastructure that will define the next generation of AI-driven service delivery.\nABOUT THE ROLE\nWe 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 - including LLM orchestration, voice agents, speech-to-text and text-to-speech pipelines - into a production platform that is scaling fast.\nThis role requires someone who can operate at the intersection of engineering leadership and hands-on delivery. You will set the technical direction, define architecture, and actively build - while mentoring engineers, shaping culture and challenging decisions at the highest level.\nWHAT YOU WILL DO\nTechnical Leadership and Architecture\nLead design and implementation of scalable backend systems using Node.js, TypeScript and microservice architectures.\nDefine and enforce coding standards, design principles and architecture guidelines across the engineering team.\nEnsure platform scalability, reliability and security through robust design and proactive system monitoring.\nArchitect end-to-end AI-powered features from prototype to production, balancing speed with engineering rigour.\nAI/ML and Prompt Engineering\nDesign, build and maintain AI/ML-powered systems including chatbots, voice agents, RAG pipelines and multi-agent architectures.\nOwn prompt engineering practices across the platform - crafting, testing, versioning and optimising prompts for LLMs (OpenAI, Azure OpenAI and open-source models).\nImplement evaluation frameworks to measure LLM output quality, hallucination rates, latency and cost.\nIntegrate AI models into production environments and manage model lifecycle, versioning and observability.\nLeverage Azure Machine Learning, OpenAI APIs and multi-agentic frameworks (LangChain, AutoGen, CrewAI) to build intelligent, data-driven experiences.\nChampion the use of modern AI development tooling (Cursor, GitHub Copilot, Claude) across the engineering team.\nVoice AI: STT, TTS and Telephony\nLead architecture and integration of Speech-to-Text (STT) and Text-to-Speech (TTS) pipelines for real-time voice AI applications.\nEvaluate and integrate providers such as Deepgram, ElevenLabs, Azure Speech and Whisper - balancing latency, accuracy, cost and voice quality.\nBuild and optimise end-to-end voice agent flows: ASR to LLM to TTS with low-latency streaming and graceful fallback handling.\nWhere applicable, integrate with telephony platforms such as Twilio, Vonage, LiveKit or SIP/PSTN-based systems - including call routing, IVR design and inbound/outbound call orchestration.\nInfrastructure and DevOps\nOwn cloud infrastructure strategy on Azure - including AKS, App Services, Azure Functions, networking and cost governance.\nArchitect for high availability, auto-scaling and fault tolerance. Define SLOs and drive reliability improvements.\nManage CI/CD pipelines, containerisation (Docker, Kubernetes), secrets management and deployment automation.\nMaintain and optimise MySQL and cloud data services (CosmosDB, Firebase, Data Lake). Ensure query performance and cost efficiency at scale.\nEstablish infrastructure-as-code practices (Terraform, Bicep or equivalent) and enforce security best practices.\nImplement robust observability: distributed tracing, structured logging, alerting and dashboards.\nFull Stack Engineering\nDrive backend development while ensuring smooth frontend integration using React, Next.js and modern UI frameworks.\nDeliver clean, maintainable, testable and well-documented code. Uphold high standards through code reviews.\nTeam Leadership\nWork directly with the Co-Founder to translate product vision into a clear technical roadmap - providing candid perspectives and proactively flagging risks.\nCommunicate complex technical concepts clearly to non-technical stakeholders.\nLead, mentor and upskill engineers across multiple teams. Conduct regular code reviews and knowledge-sharing sessions.\nCollaborate with PMs, BAs and designers to ensure technical feasibility, clear scope and timely delivery.\nFoster a culture of ownership, transparency and continuous improvement.\nRequirements\nESSENTIAL\n8+ years of experience in software engineering with a strong focus on backend systems and architecture.\nProven expertise in Node.js, TypeScript, React, Next.js and MySQL.\nExperience designing and scaling distributed systems and microservices.\nStrong, hands-on understanding of AI/ML concepts including model integration, prompt engineering and LLM deployment in production environments.\nPractical experience with STT and TTS technologies (Deepgram, ElevenLabs, Azure Speech, Whisper or equivalent).\nDeep knowledge of cloud infrastructure - particularly Azure - including compute, networking, storage and cost management.\nExperience with Azure Cloud Services, Azure Machine Learning or equivalent cloud platforms (AWS/GCP).\nSolid understanding of CI/CD pipelines, Docker, Kubernetes and infrastructure-as-code.\nExpertise in building secure, scalable RESTful and GraphQL APIs.\nExcellent knowledge of authentication, authorisation and data security best practices.\nOutstanding communication skills: clear, direct and effective when working with both technical teams and co-founder-level stakeholders.\nProven ability to lead technical teams, set engineering direction and mentor developers.\nComfortable working remotely and aligning to UK business hours (9:00 AM to 6:00 PM GMT/BST).\nDESIRABLE\nTelephony experience: Twilio, Vonage, LiveKit, SIP/PSTN, IVR design or call centre infrastructure.\nExperience with data pipelines, ETL or real-time data streaming (Kafka, RabbitMQ).\nFamiliarity with AI operations (MLOps), model evaluation frameworks and A/B testing.\nAdvanced experience with Azure Kubernetes Service (AKS), CosmosDB and API Management.\nDemonstrated success in building and scaling high-traffic, data-intensive platforms.\nExperience working in regulated industries where compliance and data governance are important.\nLOGISTICS\nEducation: We value skills and experience over formal qualifications.\nWorking arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST).\nStart date: Flexible.\nBenefits\nWHAT WE OFFER\nCompetitive package depending on experience\nPotential share options\nProfessional development including conference attendance and CPD support\nThe opportunity to define the technical direction of a platform that is scaling fast and serving hundreds of organisations\nDirect partnership with the Co-Founder on product and technical strategy\nRemote working with a collaborative, high-ownership engineering culture\nHOW WE ARE DIFFERENT\nAt QuantumLoopAI, you will join a team that is building AI-powered products used by hundreds of organisations across the UK. We move fast, take ownership, and celebrate wins together. Our culture values:\nImpact over optics. We measure success by real outcomes, not busy work\nTransparency. Open communication, honest feedback, shared context\nOwnership. You will have real autonomy to shape your work and our platform\nLearning. We are building something new, and we learn from every experiment\nThis is a rare opportunity to lead the technical architecture of a platform at a critical stage of growth - pre-Series A with real traction, real users and a product that is already deployed at scale. You will not be inheriting a legacy system and maintaining it. You will be shaping what comes next.\nDIVERSITY AND INCLUSION\nWe 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. If you are excited about this role but do not meet every requirement, we would still love to hear from you.\nRECRUITMENT SAFETY NOTICE\nQuantumLoopAI will never ask candidates for payment or sensitive financial information during the recruitment process. All official communications come from @quantumloopai.com email addresses.\nCOME WORK WITH US\nReady 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? 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