Artificial Intelligence Engineer

Cloudinity Inc • Contract • Richmond, VA, US • 2w ago

Responsibilities:

Lead UI development team to support design, develop and deploy AI models that drive business value and innovation.
Lead in creation and implementation of UI design layer strategies that align with the organization's goals and objectives.
Ability to use advanced mathematical modeling, statistical analysis, and optimization techniques to gather and analyze data, identifying problems and developing solutions to improve efficiency in prompts.
Developing and implementing UI components using React.js and/or Angular
Integrate AI agents and autonomous systems for decision-making, workflow automation, and task delegation.
Collaborating with cross-functional teams (Agentic Data engineers) to design and deliver 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:

Driving AI initiatives, fostering innovation, and leading a multi-functional team of AI Scientists and AI Engineers
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
Proven experience in leading projects and teams, including the mentorship of AI engineers
The ability to engage in critical evaluation of information, hypothesis testing, and scenario analysis.
Flexibility in learning and adopting new technologies, methodologies, and tools to stay at the forefront of AI trends.
A degree in computer science, software engineering, or a related field

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