M-3/12 - 759495 - AI Developer UI Strategy

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.
• 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.
• Developing visual representations of agent states, decisions, and actions to help users comprehend and trust agentic technology.
• Designing forms and tools for collecting data from experiment participants, ensuring data integrity and ease of use.
• Developing 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.
• Experience with version control systems (e.g., Git).
• Knowledge of modern authorization mechanisms, such as JSON Web Tokens.
• 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.

Pay

The pay range for this position is not specified, but it is for 9+ months with an option for extension.

Schedule

The contractor must work EST business hours and will be required to come to Richmond, VA quarterly for on-site work.