Front-End Developer (UI/UX)

Job Title: Front-End Developer (UI/UX)

Location: West Sacramento, CA:: Hybrid

Duration: 12 Months

Visa: USC / GC/ H1B / H4 EAD

Mandatory Qualifications

At least five (5) years of experience in front-end UX/UI design for analytics dashboards and highly interactive reporting.

At least four (4) years of experience in development with React for or building scalable, highly customized production-grade user interfaces.

At least two (2) years of experience in front-end development with Chainlit or Streamlit for AI/ML or GenAI solutions with complex state management & data handling (e.g., real-time updates; UI states for loading, retries, and partial responses).

At least two (2) years of experience in latency handling and async UX patterns, explainable AI interfaces (confidence, sources, disclaimers), and prompt design basics.

At least two (2) years of hands-on experience and proven ability to build chat interfaces (streaming responses, token handling), and AI-assisted workflows (autocomplete, summarization, recommendations).

Have a bachelor s degree in computer science, computer engineering, or related fields from an accredited or government sanctioned college/university. (Copy needed)

Desirable Qualifications

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 five (5) years of experience in data engineering, data warehousing, or BI analytics.

At least three (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.