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Front-End Developer (Chainlit, or Streamlit Exp)

AgreeYa SolutionsWest Sacramento, CA🇺🇸United StatesPosted 20 Aug 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to leverage your React, Chainlit, or Streamlit expertise in building cutting-edge AI/ML interfaces, fostering significant career growth. You'll thrive here if you're passionate about creating highly interactive user experiences and contributing to innovative solutions within a reputable technology company. Apply now to join a dynamic team and make a real impact.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
West Sacramento, CA, United States
Posted
6 days ago
SQLAWSSnowflakeTableauAzureLLMPower BIReact

Job Description

Front-End Developer (Chainlit, or Streamlit Exp)

Location: Sacramento, CA
Work Arrangement: Hybrid 3 days onsite
References Required: 3 professional references

Job Summary

  • We are seeking a Front-End Developer with strong experience in front-end UX/UI design, React development, and highly interactive analytics and reporting interfaces. The ideal candidate will have hands-on experience building production-grade user interfaces for AI/ML and GenAI solutions using React, Chainlit, or Streamlit.

Required Qualifications:

  • Experience in front-end UX/UI design for analytics dashboards and highly interactive reporting.
  • Experience developing with React or building scalable, highly customized, production-grade user interfaces.
  • Experience in front-end development with Chainlit or Streamlit for AI/ML or GenAI solutions with complex state management and data handling, including:

Real-time updates

Loading states

Retry states

Partial responses

  • Experience in latency handling and async UX patterns.
  • Experience developing explainable AI interfaces, including confidence, sources, disclaimers, and prompt design basics.
  • Hands-on experience building chat interfaces, including streaming responses, handling recommendations, and AI-assisted workflows such as autocomplete and summarization.

Desired Qualifications:

  • Technical certifications in the following areas:

AWS certifications

Snowflake certifications

BI certifications, including Power BI or 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 developing semantic models supporting natural language querying and AI-driven analytics (GenBI), statistical analysis, predictive analytics, and optimization.
  • 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.

Work Arrangement:

  • Hybrid work model requiring the proposed onsite project person to work 2 to 3 business days per week, West Sacramento, CA.
  • The position requires onsite availability in accordance with the hybrid working model.
  • Three professional references are required.

Additional Information:

AgreeYa is a global systems integrator delivering competitive advantage for its customers through software, solutions, and services. Established in 1999, AgreeYa is headquartered in Folsom, California, with a global footprint and a team of more than 2,200 staff across offices. AgreeYa works with 500+ organizations ranging from Fortune 100 firms to small and large businesses across industries such as Telecom, Banking, Financial Services & Insurance, Healthcare, Utility & Energy, Technology, Public sector, Pharma & Biotech, and others. Please visit us at for more information.


AgreeYa is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, gender identity, sexual orientation, national origin, disability, veteran status or other protected characteristics.

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