Job Description
We are seeking an expert in AI and voice-agent technology to join our team. The ideal candidate will have hands-on experience with prompt engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) frameworks, and voice-agent / dialogue-system design.
Key Responsibilities
- Design and deploy AI models using LLMs and RAG-based systems to ingest NHS data sources and generate accurate responses.
- Craft, iterate and optimise prompts and design voice-agent dialogue flows to maximise response relevance and reduce latency.
- Collaborate with frontend and backend teams to integrate AI and voice-agent components into a microservices architecture.
- Instrument AI and voice-agent pipelines, analyse logs and user feedback, troubleshoot edge cases, and implement continuous-learning improvements.
- Stay up-to-date with the latest advances in LLMs, RAG, conversational AI frameworks, and NHS-specific compliance.
- Test and validate model accuracy, voice-agent performance, and compliance with healthcare standards.
Requirements
Proven expertise in prompt engineering, LLMs, RAG frameworks, and voice-agent / dialogue-system design.Advanced proficiency in Python, NestJS, and Next.js / React for frontend integration.Strong understanding of Azure services, containerisation, and relational databases.Experience designing microservices, distributed architectures, and RESTful / GraphQL APIs.Passion for healthcare technology, patient-centric design, and improving NHS primary care workflows.Excellent written and verbal skills to communicate complex AI concepts to technical and non-technical stakeholders.Proactive team-oriented mindset and drive to mentor peers and contribute to a continuous-learning culture.