Salary is 155k to 160k + bonus

Design and develop AI-powered solutions using Python, machine learning, and large language model technologies to address business and operational needs.
Build and integrate LLM-based applications, including context engineering, prompt workflows, and AI-assisted analytics capabilities.
Develop data pipelines and transformation workflows using Python, SQL, dbt, and cloud-based technologies to prepare high-quality data for AI and analytics applications.
Develop predictive models using machine learning techniques such as Random Forest, clustering, time-series forecasting, NLP, and recommendation algorithms.
Integrate AI solutions with analytics platforms and business intelligence tools to enable self-service insights and automated decision-making.
Process and analyze large-scale datasets using AWS services, Spark, and Python to identify trends, develop features, and support data-driven solutions.
Partner with business, clinical, operations, and technical stakeholders to translate complex requirements into scalable AI and analytics solutions.
Evaluate and optimize AI models and data workflows for accuracy, performance, scalability, and practical business impact.

Generative AI Engineer

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