Staff Software Engineer, AI

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Austin / $65 - $90 hour

INFO

Salary
SALARY:

$65 - $90

Location

LOCATION

Austin

Job Type
JOB TYPE

Contract

Staff Software Engineer, AI

Are you an experienced AI Software Engineer with a passion for building innovative solutions? In this role, you'll join a dynamic team working to push the boundaries of artificial intelligence and machine learning in the healthcare space. This is a fantastic opportunity to help evolve cutting-edge AI solutions for genetic testing.

Role - Staff Software Engineer, AI
Location - Remote
Pay Rate - $65-90/hr
Benefits - W2 employees receive access to benefits such as Medical, Dental, Vision, 401k

OUR CLIENT

This organization is at the forefront of the healthcare and AI space, using advanced technologies to enhance the accuracy and efficiency of genetic tests. With a focus on innovation and collaboration, the company is dedicated to advancing AI and machine learning techniques to improve patient outcomes. Are you ready to make an impact?

THE ROLE

  • Help build AI expertise within a team of non-AI software engineers.
  • Lead the development of a multi-label document classification system.
  • Design and implement sticker detection and text extraction systems.
  • Integrate Large Language Models (LLMs) and vectorstores for document analysis.
  • Develop anomaly detection mechanisms for PDF documents.
  • Perform consistency checks on extracted data using LLMs.
  • Work within an existing tech stack using Java/SpringBoot, GitLab, Kafka, and Kubernetes to accept orders for genetic tests.
  • Enhance the use of OCR technology (Hyperscience, AWS Textract, and Rekognition) and LLMs to improve functionality and scalability.

YOUR SKILLS AND EXPERIENCE

A successful AI Software Engineer for this role will likely have the following skills and experience:

  • Strong experience in OCR technologies, particularly AWS Textract and Rekognition.
  • Expertise in working with Large Language Models (LLMs), with hands-on experience using AWS Bedrock.
  • Proficiency in computer vision, particularly in sticker detection and text extraction.
  • Solid background in supervised machine learning development and deployment.
  • Experience in building production-grade applications using Python/Java, with a focus on robust metrics.
  • Previous experience in the healthcare space and familiarity with HIPAA regulations is a plus.

HOW TO APPLY

Please register your interest by sending your resume via the Apply link on this page.

CONTACT

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