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Lead AI Developer only w2)

Company:
raag solutions
Location:
Richmond, VA
Posted:
August 04, 2025
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Description:

W2 only

Experience with ReactJS Required 5 Years

Experience with Agentic AI Skills (AI Models, ML, LLM, Deep Learning) Required 2 Years

Experience building high performance solutions to leverage large data sets Required 5 Years

Experience with HTML5/CSS3 Required 5 Years

Experience integrating with deck.gl Required 1 Years

Experience with building BI widgets and GIS enabled visualizations (Azure Maps) Required 3 Years

Qualifications:

Ability to Integrate ReactJS with deck.gl

Building GIS enabled visualizations using Azure Maps?

Expertise in Azure App Services, Azure ML Studio WS, Power BI, Azure Function Apps, Azure Container Apps, Azure API Management

Experience implementing Azure Machine Learning, Azure Computer Vision, Azure Video Indexer, Azure OpenAI models, Azure Media Services, Azure AI Search?

Ability to work with large data sets to improve performance efficiency.

Develop visual representations of agent states, decisions, and actions to help users comprehend and trust agentic technology.

Design forms and tools for collecting data from experiment participants, ensuring data integrity and ease of use.

Develop interfaces that facilitate interaction between humans and automated systems, allowing for human oversight and intervention in human-in-the-loop processes.

Knowledge of REACT tools including React.js, Axios, React Router, Redux, etc.

Strong JavaScript, HTML5, and CSS3 skills

Familiarity with RESTful APIs and integration

Knowledge of modern authorization mechanisms, such as JSON Web Tokens

Experience with version control systems (e.g., Git)

Understanding of front-end build tools and pipelines

Strong leadership, excellent problem-solving and communication skills

Experience with Department of Transportation Data Domains developing an AI Composite Agentic Solution designed to identify and analyze?data models, connect & correlate?information to validate?hypotheses, forecast, predict and recommend?potential strategies and conduct What-if analysis.

A degree in computer science, software engineering, or a related field

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