AI/ML & Prompt Engineer – LLM, RAG, Voice Agent

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QuantumLoopAi

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $2M Convertible note on 2025-02

Healthcare • Artificial Intelligence • SaaS

QuantumLoopAi is an AI healthcare software company that provides EMMA, an AI receptionist built specifically for NHS GP (general practice) surgeries. EMMA answers every patient call instantly, handles hundreds of simultaneous calls, integrates with consultation tools, supports multiple NHS languages, and is DTAC-certified. The platform aims to eliminate phone queues, free reception staff for face-to-face care, improve patient access and satisfaction, reduce reception costs, capture richer call data for clinicians, and is deployed across many NHS GP practices and PCNs.

📋 Description

• WHAT YOU WILL DO • - Architect and deploy LLM- and RAG-based systems that ingest data sources, generate accurate responses, and power both chatbot and voice agent interactions. • - Design, iterate and optimise prompts and voice-agent dialogue flows to maximise response relevance, reduce latency and ensure clinical safety across text and voice channels. • - Partner with frontend (Next.js, React) and backend (NestJS, Python) teams to integrate AI and voice agent components into our Azure-hosted microservices architecture. • - Instrument AI and voice-agent pipelines, analyse logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements. • - Stay abreast of the latest advances in LLMs, RAG, conversational AI frameworks, and (GDPR, DTAC) to inform our technical roadmap. • - Define and execute rigorous test plans in collaboration with QA to validate model accuracy, voice-agent performance and compliance with healthcare standards. • - Mentor junior engineers and advocate for best practices in MLOps, prompt engineering, voice-agent design and model governance.

🎯 Requirements

• ESSENTIAL • - Demonstrable hands-on experience with prompt engineering, LLMs (e.g. GPT, LLaMA, Mistral), RAG frameworks, and voice-agent or dialogue-system design, with shipped projects or open-source contributions. • - Advanced proficiency in Python for ML/AI development. • - Experience building APIs in NestJS and familiarity with Next.js/React for frontend integration. • - Strong understanding of Azure services (App Services, Functions, Cognitive Services), containerisation (Docker), and relational databases (MySQL). • - Experience designing microservices, distributed architectures and RESTful or GraphQL APIs. • - Excellent written and verbal communication skills, with the ability to articulate complex AI and voice-agent concepts to technical and non-technical stakeholders. • - Comfortable working remotely and collaborating asynchronously with a UK-based team during UK business hours (9:00 AM to 6:00 PM GMT/BST). • DESIRABLE • - Contributions to open-source LLM or RAG tooling. • - Experience with MLOps pipelines, model monitoring and automated evaluation frameworks. • - Background in speech-to-text, text-to-speech, or telephony integration.

🏖️ Benefits

• WHAT WE OFFER • - Competitive package depending on experience • - Potential share options • - Professional development including conference attendance and CPD support • - Remote working with a collaborative, supportive team