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.

LOGISTICS

• Education: We value skills and experience over formal qualifications.
• Working arrangements: Fully remote from India, aligned to UK business hours (9:00 AM to 6:00 PM GMT/BST).
• Start date: Flexible.

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

How We Are Different At QuantumLoopAI, you will join a team that is genuinely improving primary care. We move fast, take ownership, and celebrate wins together. Our culture values:

• Impact over optics. We measure success by patient outcomes, not busy work
• Transparency. Open communication, honest feedback, shared context
• Ownership. You will have real autonomy to shape your work and our product
• Learning. We are building something new, and we learn from every experiment

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. If you are excited about this role but do not meet every requirement, we would still love to hear from you.

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

We would love to hear from you. Questions about this role? Contact careers@quantumloopai.com