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AI Engineer

Grace Hire

 

Austin, TX, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Remote
Openings: 2
Category: AI Engineer
Tenure: No Preference/Any
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Description

Own the design, development, and deployment of generative AI solutions using LLMs and RAG systems.

Responsibilities

  • Build and optimize Python-based AI models using TensorFlow and PyTorch.
  • Implement RAG architectures and deploy generative AI applications on Azure.
  • Manage MLOps pipelines and containerize services with Docker.
  • Apply healthcare data standards and ensure privacy regulation compliance.
  • Resolve complex technical problems and communicate progress effectively.

Required Skills

  • 5+ years of professional software engineering experience.
  • Advanced proficiency in Python.
  • Hands-on experience with TensorFlow and PyTorch frameworks.
  • Proven track record with LLMs, RAG systems, and generative AI.
  • Experience deploying and managing cloud infrastructure on Azure.
  • Strong background in MLOps and Docker containerization.
  • Understanding of healthcare data standards and privacy regulations.

Education

Any Graduate

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