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M-315 - 759495 - AI Developer UI Strategy

level up
Richmond, VA Full Time
POSTED ON 3/19/2025
AVAILABLE BEFORE 5/19/2025

 

 

** This position is mostly remote.   Contractor will need to come to Richmond, VA quarterly.  Contractor is responsible for their travel cost.  Contractor must work EST business hours. **

 

 

Our direct client has an opening for an AI Developer UI Strategy position # 75949. This position is for 9 months, with option of extension, and will be worked mostly remote and on-site in Richmond, VA quarterly.  Candidate is responsible for their own travel cost.

 

If you are interested, please submit the following:

YOUR CURRENT RESUME

YOUR HOURLY RATE  

 

Below is the job description – Resumes due ASAP –

 

 

Description:

 

The Information Technology Division is seeking a highly skilled AI Developer UI Strategy mainly crafting and integrating UI components through React.js and Angular methodologies with AI systems. You'll also play an integral role in optimizing front-end performance and maintaining comprehensive documentation for our front-end codebase. 

 

   

Responsibilities:  

  • Developing and implementing UI components using React.js and/or Angular 
  • Preparation of AI and ML models using inputs from solutions architecture and development of AI/machine learning (ML) applications. 
  • Integrate AI agents and autonomous systems for decision-making, workflow automation, and task delegation.  
  • Collaborating with cross-functional teams to design and implement new features 
  • Building reusable components and front-end libraries for future use 
  • Translating designs and wireframes into high-quality code 
  • Optimizing components for maximum performance across various web browsers 
  • Troubleshooting and debugging issues to ensure smooth user experiences 
  • Participating in code reviews to maintain code quality and consistency 

 

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 

 

 

Required/Desired Skills:

 

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 

 

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