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Total Performance Consulting

Governed AI and senior engineering services

Senior AI/ML Engineer

Computer Vision +1Confirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 6 years of Python development experience.
  • At least 4 years of experience as an AI/ML Developer.
  • Experience with JavaScript, Node.js, and React.
  • Experience with MongoDB and AWS.
  • Upper-intermediate English proficiency.

Responsibilities

  • Build and fine-tune natural language processing systems to extract structured data and insights from dense, jargon-heavy insurance documents.
  • Lead the development and fine-tuning of large language models tailored to the domain.
  • Architect training workflows that use user feedback and corrections to continually improve model performance.
  • Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.
  • Build intelligent agents that interact with complex web interfaces using tools such as Playwright or Selenium and a strong understanding of DOM structures.
  • Design robust evaluation pipelines and performance metrics for all models.
  • Help architect scalable systems to support training, inference, and feedback pipelines.
  • Build core systems from scratch.
  • Collaborate with the founders (CEO and CTO) to help define the company's technical direction.

About the Company

Total Performance Consulting

Governed AI and senior engineering services

Perform delivers governed AI and senior engineering services for mission-critical systems, combining consulting, staff augmentation, and AI delivery to implement AI, modernize legacy software, and assure quality for AI-powered products. Its Governed AI approach keeps AI transparent and auditable, with a human engineer accountable for every output, and its distributed team of about 100 engineers works in client time zones and integrates with existing teams. This differentiates it from competitors through explicit human accountability, long-term self-funding, and end-to-end services tailored to enterprise needs. Its goal is to enable safe, auditable, and dependable AI within enterprise workflows so organizations can adopt AI in critical operations without sacrificing reliability.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Atlanta, GA
Founded
2005

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