AI Engineer

A leading UK healthcare technology provider that supports healthcare organisations in delivering safer, more efficient, and patient-centric care. The organisation is investing heavily in Artificial Intelligence and is expanding its AI capabilities to develop innovative solutions that enhance clinical workflows, operational efficiency, and patient outcomes. The company is seeking an experienced AI Engineer to join its growing technology team and help drive the development of cutting-edge AI-powered healthcare applications.

Responsibilities

• Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform.
• Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments.
• Develop and manage multi-agent workflows to support complex business and clinical use cases.
• Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP).
• Design and develop scalable AI services and data processing solutions using Python and related technologies.
• Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector database architectures.
• Develop real-time AI applications, including speech-to-text and streaming AI interaction capabilities.
• Integrate AI capabilities with existing backend and frontend systems.
• Design, test, evaluate, and optimise prompts to improve the accuracy, safety, and performance of AI systems.
• Ensure all AI solutions are secure, scalable, reliable, and production-ready.
• Collaborate closely with engineering, product, and subject matter experts to deliver impactful AI initiatives.
• Stay current with emerging AI technologies, tools, frameworks, and industry best practices to drive continuous innovation.

Qualifications and Skills

• 5+ years of software development experience in commercial environments.
• Strong programming expertise in Python, Java, and JavaScript.
• Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems.
• Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen.
• Hands-on experience with Model Context Protocol (MCP) implementations.
• Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search.
• Experience building and supporting Retrieval-Augmented Generation (RAG) solutions.
• Experience working with OpenAI and other modern AI platforms.
• Expertise in prompt engineering, prompt evaluation, and optimisation techniques.
• Experience developing real-time AI and audio-processing pipelines.
• Experience deploying AI applications in cloud environments, ideally Microsoft Azure.
• Strong problem-solving and analytical skills with the ability to deliver practical, production-grade solutions.
• Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams.
• Demonstrated passion for AI innovation and a commitment to continuous learning in a rapidly evolving technology landscape.

Halian Group

With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrows potential. Discover the amazing things possible when you bring the right people and the right technologies together.

At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives.

We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.