What are the responsibilities and job description for the Generative AI Engineer(Local to SC) position at American Business Solutions Inc.?
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:
2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms
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:
2 years of hands-on experience with ChatGPT, Microsoft Copilot, and comparable generative AI platforms