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Senior AI Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Senior AI Engineer. in the . United States. .. As a Senior AI Engineer, you will play a pivotal role in advancing AI-driven products that deliver personalized health insights and recommendations at scale. You will leverage cutting-edge techniques in Generative AI, deep learning, and AI agents to design solutions that adapt to individual needs and improve real-world outcomes. This hands-on role combines experimentation, model development, deployment, and optimization with collaboration across multidisciplinary teams. You will influence product strategy, mentor peers, and contribute to building scalable, resilient, and high-impact AI systems in a fast-paced, mission-driven environment. This is an opportunity to apply AI to meaningful challenges that directly improve health and quality of life for users.. Accountabilities. In this role, you will be responsible for:. . Leading the end-to-end lifecycle of AI products, from ideation and prototyping to development, deployment, and optimization.. . Designing and implementing advanced AI solutions, including LLMs, Generative AI, conversational AI agents, and personalized recommendation systems.. . Developing and refining ML models to drive behavior change and improve metabolic health outcomes for diverse users.. . Collaborating closely with clinical, research, analytics, and engineering teams to build AI-powered experiences that have measurable impact.. . Analyzing member behavior and feedback to continuously improve models and inform product decisions.. . Applying best practices in model evaluation, performance optimization, and data-driven decision-making.. . Contributing to technical standards, mentorship, and knowledge sharing within the AI and data science teams.. . The ideal candidate will have:. . Bachelor’s or Master’s degree in Computer Science, Statistics, or a related field (PhD a plus).. . 5+ years of industry experience developing AI and machine learning systems in production environments.. . Proven experience building AI-powered consumer-facing features and applications.. . Expertise in Python programming and large-scale data analysis using technologies such as SQL or Snowflake.. . Experience with LLMs, Generative AI, advanced prompt engineering, retrieval-augmented generation (RAG), and iterative AI evaluations.. . Familiarity with deep learning frameworks and neural network architectures for production ML systems.. . Strong collaboration skills, capable of working cross-functionally with clinical, research, and engineering teams.. . Excellent problem-solving skills and a passion for building AI solutions that have tangible impact.. . Preferred qualifications:. . Experience with Voice AI or specialized language models (VLMs, multi-modal systems).. . Hands-on experience deploying and optimizing ML models in production.. . Knowledge of healthcare applications and data is a plus but not required.. . Company Location: United States.