

Jobs via Dice
Frontend AI Engineer (Streamlit / GenAI) - (W2 Contract) - Only Visa Independent Candidates
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Frontend AI Engineer (Streamlit / GenAI) on a 12-month W2 contract, remote but commutable to Fed offices. Requires 3+ years frontend experience, Streamlit proficiency, Python skills, and API integration; AWS knowledge preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 1, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Databricks #Python #Docker #SageMaker #Scala #AWS (Amazon Web Services) #AI (Artificial Intelligence) #JavaScript #Cloud #TypeScript #Security #Data Science #Streamlit #Visualization #ML (Machine Learning)
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Brilliant Infotech Inc., is seeking the following. Apply via Dice today!
Role: Frontend AI Engineer (Streamlit / GenAI)
Location: Remote – Must be commutable to any Fed headquarters or branch office (San Francisco, CA; Chicago, IL; NYC, NY; Richmond, VA; Kansas City, MO; Cleveland, OH; Charlotte, NC; Dallas, TX)
Duration: 12 months, w/ possible extension
Type of Employment: W2 Contract
Job Summary:
We are seeking a Frontend AI Engineer to build and deliver user-friendly interfaces for AI/ML and Generative AI applications. This role focuses on developing scalable UI solutions for LLM-based systems, including chat interfaces, dashboards, and document processing tools.
Key Responsibilities:
• Develop front-end applications using Streamlit for AI/ML use cases
• Build LLM-powered interfaces (chat, RAG systems, dashboards)
• Integrate with backend APIs and AWS AI services (Bedrock, SageMaker)
• Collaborate with data scientists and engineers to deliver end-to-end AI solutions
• Optimize performance, usability, and accessibility of applications
Required Skills:
• 3+ years of frontend development experience
• Hands-on experience with Streamlit and AI/ML or LLM-based applications
• Strong Python skills; JavaScript/TypeScript is a plus
• Experience integrating APIs and working with cloud platforms (AWS)
• Understanding of UI/UX, responsive design, and web application security
Preferred:
• Experience with Databricks, Docker, CI/CD, or data visualization tools
• Exposure to regulated environments and modern data platforms
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Brilliant Infotech Inc., is seeking the following. Apply via Dice today!
Role: Frontend AI Engineer (Streamlit / GenAI)
Location: Remote – Must be commutable to any Fed headquarters or branch office (San Francisco, CA; Chicago, IL; NYC, NY; Richmond, VA; Kansas City, MO; Cleveland, OH; Charlotte, NC; Dallas, TX)
Duration: 12 months, w/ possible extension
Type of Employment: W2 Contract
Job Summary:
We are seeking a Frontend AI Engineer to build and deliver user-friendly interfaces for AI/ML and Generative AI applications. This role focuses on developing scalable UI solutions for LLM-based systems, including chat interfaces, dashboards, and document processing tools.
Key Responsibilities:
• Develop front-end applications using Streamlit for AI/ML use cases
• Build LLM-powered interfaces (chat, RAG systems, dashboards)
• Integrate with backend APIs and AWS AI services (Bedrock, SageMaker)
• Collaborate with data scientists and engineers to deliver end-to-end AI solutions
• Optimize performance, usability, and accessibility of applications
Required Skills:
• 3+ years of frontend development experience
• Hands-on experience with Streamlit and AI/ML or LLM-based applications
• Strong Python skills; JavaScript/TypeScript is a plus
• Experience integrating APIs and working with cloud platforms (AWS)
• Understanding of UI/UX, responsive design, and web application security
Preferred:
• Experience with Databricks, Docker, CI/CD, or data visualization tools
• Exposure to regulated environments and modern data platforms






