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Description
Experience : 3.00 + years Salary : INR 1800000.00 / year (based on experience) Expected Notice Period : 15 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Not yet disclosed) (*Note: This is a requirement for one of Uplers' client - Quantumloopai) What do you need for this opportunity? Must have skills required: MicroServices, Next.js, react, LLMs, Prompt engineering, RAG Frameworks, voice-agent design, Docker, MySQL, Python Quantumloopai is Looking for: At QuantumLoopAI, we’re redefining customer engagement in healthcare with EMMA, the UK’s leading AI receptionist for GP practices. By combining cutting-edge Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), advanced prompt engineering, and our bespoke voice agent technology, we eliminate phone queues, accelerate call handling and enhance patient access—transforming the primary care experience end-to-end. As our Senior Prompt & AI/ML Engineer, you will drive the design, development and deployment of the AI models that power EMMA’s intelligent chatbots, voice agent and telephony services. You’ll collaborate closely across product, engineering and clinical teams to deliver data-driven improvements, ensuring our solutions remain at the forefront of NHS digital transformation. Responsibilities- Architect & Deploy AI Models: Lead the end-to-end development of LLM- and RAG-based systems to ingest NHS data sources, generate accurate responses, and power both chatbot and voice agent interactions. Prompt & Voice Agent Engineering: Craft, iterate and optimise prompts—and design voice-agent dialogue flows—to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. Cross-Functional Collaboration: Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. Performance Monitoring & Optimisation: Instrument AI and voice-agent pipelines, analyze logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. Innovation & R&D: Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance (GDPR, DTAC) to inform our technical roadmap. Testing & Validation: Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. Technical Leadership: Mentor junior engineers, advocate for best practices in MLOps, prompt engineering, voice-agent design, and model governance, and contribute to architecture reviews. What You’ll Bring Proven Expertise: Hands-on experience with prompt engineering, LLMs (e.g., GPT, Bloom, LLaMA), RAG frameworks, and voice-agent/dialogue-system design, with demonstrable projects or open-source contributions. Programming Skills: Advanced proficiency in Python; comfortable building APIs in NestJS; familiarity with Next.js/React for frontend integration. Cloud & Data: Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). Systems Thinking: Experience designing microservices, distributed architectures and RESTful/GraphQL APIs. Domain Interest: A passion for healthcare technology, patient-centric design and improving NHS primary care workflows. Communication: Excellent written and verbal skills to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. Collaboration: A proactive, team-oriented mindset and a drive to mentor peers and contribute to a continuous-learning culture. What We Offer Impactful Work: Shape the AI and voice agent engine behind EMMA, directly improving patient access and staff wellbeing across hundreds of GP surgeries. Innovative Environment: Join a rapidly growing team at the cutting edge of healthcare AI, with dedicated R&D time and full support for professional development. Flexible Hybrid Working: Our HQ at Canary Wharf is just a short walk from the DLR; enjoy a balance of in-office collaboration and remote days. Competitive Package: Attractive salary, equity options, pension contributions and comprehensive private healthcare. Supportive Culture: Work alongside seasoned AI researchers, software engineers and NHS specialists in a collaborative, fast-paced setting. How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you! Show more Show less
