Senior Applied AI Engineer

Candidates should possess a Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience, with over 5 years of experience deploying AI models that have demonstrated business impact. Proven experience in designing, deploying, and managing end-to-end AI solutions, particularly with Generative AI, prompt engineering, and finetuning, is essential. Expertise in Generative AI tools such as OpenAI, Bedrock, Huggingface TGI, Ollama, langchain, and llamaindex, along with machine learning tools like AWS SageMaker, PyTorch, and Hugging Face, is required. General experience with cloud ML platforms (AWS, Azure, GCP), especially AWS SageMaker and Azure ML, is necessary. The role also requires successful monitoring of model performance post-deployment, the ability to link AI solutions to business impacts, strong cross-team collaboration skills, problem-solving capabilities in complex environments, a commitment to continuous learning in AI, familiarity with Agile methodologies, and an interest in the intersection of healthcare and AI.