Applied AI/LLM Engineer, Public Health LLMs, Consultant

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we’ve worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day. The Digital Team at Resolve to Save Lives (RTSL) is implementing or helping to implement cutting-edge digital tools such as the Simple app , DHIS2 and Africa Covid Dashboard. We work with national and regional health organizations to accelerate progress and advancing the use of digital technologies to save lives through our approach of simplicity, speed, and scale. Contract duration: 1 2-month consultancy , with possibility of extension based on program needs and mutual interest Level of Effort: Full-time 100% level of effort Location: Remote Job Structure: Independent Contractor Position Purpose Resolve to Save Lives is looking for an Applied AI/LLM Engineer Consultant to support our innovative team, focusing on the exciting field of Large Language Models (LLMs) in the context of Public Health. In this role, you will contribute to the design, fine-tuning, deployment, and evaluation of AI/ML systems based on pre-trained models (e.g., LLaMA, Mistral, GPT, Phi) that help ease the lives of healthcare workers and clinicians. You will work closely with back-end and mobile engineers to bring cutting-edge AI capabilities to life. The ideal candidate will possess the expertise to leverage existing Large Language Models (LLMs) to train and evaluate models using program-specific clinical data (e.g., patient notes, SMS interactions, train