AI Developer UI Strategy

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Company: Cynet Systems

Location: Richmond, VA 23223

Description:

Job Description:

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:
  • bility 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.
  • bility 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.
  • degree in computer science, software engineering, or a related field.

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