Generative AI Engineer: LLM & Data Solutions

Phaxis

Nashville (TN)

On-site

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Phaxis is seeking a skilled AI/ML engineer in Nashville to design and deploy AI-powered solutions. You will develop data pipelines, build LLM-based applications, and collaborate with business and technical stakeholders to translate complex requirements into scalable analytics solutions.

You will work with Python, SQL, dbt, and AWS/Spark to prepare data, create predictive models, and enable automated, data-driven decision-making across the organization.

Responsibilities

  • 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.

Job description

Phaxis is seeking a skilled AI/ML engineer in Nashville to design and deploy AI-powered solutions. You will develop data pipelines, build LLM-based applications, and collaborate with business and technical stakeholders to translate complex requirements into scalable analytics solutions.

You will work with Python, SQL, dbt, and AWS/Spark to prepare data, create predictive models, and enable automated, data-driven decision-making across the organization.

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