Frontend Developer

Job Title:
Front End Developer

Duration: 12+ Months

Location: 100 Waterfront Place, West Sacramento, CA 95605 (Hybrid)

Number of

Hours:

40 Hrs/Week

Position Type:
Contract

Interview Type:
In Person or Web Cam

Requirement :

Note:
The hybrid working model by working on-site 2-3 days per week at West Sacramento, CA

Description: Responsible for designing and building highly interactive GenBI, AI, and analytics applications, dashboards, chat interfaces, and AI-assisted user experiences using React, Chainlit, and Streamlit technologies.

• React Development:
  Build enterprise-grade React applications
• Dashboard Development:
  Create analytics dashboards and reporting interfaces
• Chainlit Development:
  Build conversational AI interfaces
• Streamlit Development:
  Develop rapid AI analytics applications
• AI Chat Interfaces:
  Build streaming-response chat experiences
• Explainable AI UI:
  Display confidence scores, citations, sources, and AI explanations
• Data Visualization:
  Create interactive charts and reporting components
• Performance Optimization:
  Reduce latency and improve application responsiveness
• Stakeholder Feedback:
  Incorporate business user feedback into UI enhancements

• Holding technical certifications in the areas of: AWS certifications Snowflake certifications BI certifications (Power BI, Tableau) AI/ML or GenAI-related coursework or credentials
• At least (5) years of experience in data engineering, data warehousing, or BI analytics
• At least (3) years of experience working with AI/ML or GenAI technologies to design and build AI/GenAI solutions using cloud services such as AWS, Snowflake, or Azure.
• Practical hands-on experience using OpenAI APIs or similar LLM platforms, building natural language to programming languages such as SQL/query, designing prompt strategies for business insights, and prompt engineering to guide system behavior.
• Experience in developing semantic models supporting natural language querying and AI-driven analytics (i.e., GenBI); statistical analysis, predictive analytics, and optimization.
• Have a bachelor’s degree in computer science, computer engineering, or related fields from an accredited or government sanctioned college/university. CalSTRS may request a copy of the diploma/degree.