• You will be one of the team's primary technical references, responsible for creating and evolving generative AI solutions for conversational products and for optimizing operational efficiency. • In addition to hands-on work in modeling, data analysis and prompt engineering, you will play an active role in defining technical standards, architectural decisions, and integration between science and engineering to scale our AI solutions with quality and impact. • We work in an agile model, constantly seeking results through experiments and short validation cycles. We are looking for someone who enjoys and is comfortable working in a dynamic, metrics-driven environment with excellent engineering and data science practices.

• Design and implement evaluation systems and tooling to validate Oura’s custom AI models and Advisor • Develop novel evaluation methods to measure grounding, reliability, and actionability of LLM and agentic systems • Build and optimize custom AI models through fine-tuning, knowledge distillation, and quantization • Partner with Product and Engineering teams to balance cutting-edge research with practical engineering impact • Lead initiatives that reduce Oura’s dependency on external AI SaaS providers and accelerate model development

ABOUT QUANTUMLOOPAI QuantumLoopAI is transforming how patients access healthcare. Our AI-powered reception system, EMMA, serves millions of patients, helping GP surgeries manage demand, reduce phone queues, and ensure patients get the right care at the right time. Backed by leading healthcare investors and working with stakeholders across England, we are building the future of primary care access. As we prepare for our Series A and expand our team, we are looking for exceptional people who want to make a genuine difference to healthcare. ABOUT THE ROLE As our AI/ML & Prompt Engineer, you will own the intelligence behind EMMA — the LLM and RAG systems that power our chatbot, voice agent and telephony services. You will design, build and optimise the AI models and prompt architectures that allow EMMA to understand patient needs, retrieve accurate clinical information, and respond naturally across text and voice channels. This is a hands-on, high-impact role where your work will directly shape patient outcomes across hundreds of GP surgeries. 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.

Please Note: This role is a 6 month Fixed Term Contract Join us in shaping the future of intelligent automation by building AI‑driven solutions that transform how teams across the business operate. In this role, you’ll have the opportunity to deliver cutting‑edge AI automation projects that make a real operational impact across the organisation. You will work with modern agentic AI frameworks, large language models and sophisticated workflow orchestration tools, all while collaborating with AI specialists, engineers and business stakeholders. This is a position where you can deepen your technical expertise, influence process transformation at scale and contribute to a rapidly growing AI capability with plenty of room for learning, innovation and professional growth. Your key responsibilities as an AI Solutions Engineer will include: - Designing and building AI‑enabled automation solutions that streamline business processes and reduce manual effort. - Developing workflow automation that integrates data across systems and orchestrates end‑to‑end processes. - Implementing agentic AI and large language model solutions to support complex, multi‑step operational tasks. - Building integrations between systems, APIs and data sources to enable seamless automated workflows. - Translating business requirements into robust, maintainable technical solutions in collaboration with AI Business Partners and operational teams. - Ensuring solutions follow software engineering best practices, including testing, documentation and reliable production deployment. You will need the following experience and skills to join us as an AI Solutions Engineer: - You will have strong software development experience with languages such as Python or JavaScript. - You must have practical experience building solutions using large language models and AI APIs. - You will have hands‑on experience with agentic AI frameworks and workflow orchestration tools. - You should have a solid understanding of API integration, web services and data exchange formats. - You will be confident working with data sources and databases to support automated processes. FE fundinfo is a leading investment management technology and data company connecting asset managers to distributors in the UK, Europe and Asia Pacific. We are proud of our vast, diverse, and highly skilled team, who help to make our industry Better Connected and Better Informed. At FE fundinfo, you’ll join a collaborative, forward‑thinking environment where innovation and continuous learning are encouraged. Our teams thrive in a culture that values open communication, knowledge‑sharing and cross‑functional teamwork. We support flexible working, offer hybrid collaboration opportunities, and host regular team events, learning sessions and initiatives designed to help you grow both personally and professionally.