AI Engineer (Localto SC)

American Business Solutions, Inc.

$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Undergraduate degree in computer science, data science, artificial intelligence, or related field required.
  • 1 year of proven experience in establishing proof of concept success criteria for AI solutions.
  • 2 years of hands-on experience with ChatGPT, Microsoft Copilot, and similar generative AI platforms.
  • 2 years of experience in designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.
  • 1 year of experience using AI-assisted coding tools for development and debugging.
  • 1 year of experience defining success criteria and KPIs for AI use cases.
  • 1 year of experience building dashboards for monitoring AI performance and outcomes.

Responsibilities

  • Establish success criteria for AI proof of concepts and evaluate solutions accordingly.
  • Design and implement AI agents using RAG methodologies.
  • Utilize AI-assisted coding tools to streamline development processes.
  • Define key performance indicators and production monitoring measures for AI applications.
  • Build and maintain dashboards tracking AI adoption, performance, costs, and risks.
  • Integrate AI capabilities with Azure and AWS for enhanced functionality.

Benefits

  • Comprehensive health insurance coverage.
  • Flexible work environment with remote options.
  • Professional development opportunities and training.
  • Access to cutting-edge AI tools and platforms.
Full Job Description
Overview:

Required Skills

Undergraduate degree in computer science, data science, artificial intelligence or related field required.

1 year of proven experience with establishing proof of concept success criteria and evaluating AI solutions against criteria

2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms

2 years of experience designing and implementing AI agents and retrieval-augmented generation (RAG) solutions.

1 year of experience using AI-assisted coding tools to accelerate development, testing, debugging, and documentation.

1 year of experience defining AI use case success criteria, key performance indicators (KPIs) and production monitoring measures for AI use cases.

1 year of experience building dashboards and reporting for AI adoption, performance, cost, risk, and operational outcomes.

1 year of hands-on experience integrating AI capabilities with Azure and AWS.

Preferred Skills

Background in a variety of programming languages and principals.

Familiarity with the foundations of artificial neural networks (ANNs), transformers, natural language processing, image classification and time-series data.

Experience with data tools and techniques for storing, retrieving, and cleaning data.

Skills:

AI capabilities with Azure and AWS.

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