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Job Requirements of Lead AI Developer UI Strategy:
-
Employment Type:
Contractor
-
Location:
Richmond, VA (Onsite)
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Lead AI Developer UI Strategy
Careers Integrated Resources Inc
Richmond, VA (Onsite)
Contractor
Job Title: Lead AI Developer UI Strategy
Location: Richmond, VA (Remote – Once in a quarter onsite)
Duration: 12+ Months
Job Description:
AI Developer with UI Strategy mainly crafting and integrating UI components (through React.js) with AI.
The Client’s Information Technology Division is seeking a highly skilled Lead 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:
Qualifications:
Location: Richmond, VA (Remote – Once in a quarter onsite)
Duration: 12+ Months
Job Description:
AI Developer with UI Strategy mainly crafting and integrating UI components (through React.js) with AI.
The Client’s Information Technology Division is seeking a highly skilled Lead 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:
- Lead the UI development team to support the design, develop, and deploy AI models that drive business value and innovation.
- Lead in the 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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