Frontend AI Engineer (Streamlit)

TL;DR

Frontend AI Engineer (Streamlit): Design and deploy production-ready user interfaces for generative AI applications with an accent on UI/UX patterns for RAG systems, chat interfaces, and interactive dashboards. Focus on integrating AWS AI services like Bedrock and SageMaker, and LLM APIs into responsive front-end applications for non-technical users.

Location: Hybrid in San Francisco, CA (94105). US work authorization required (E-Verify).

$156,000–$235,000

Company

High-impact team building next-generation generative AI applications in a highly regulated Federal environment.

What you will do

• Lead development of AI app user interfaces using Streamlit as primary framework.
• Establish organization-wide UI/UX best practices for AI interfaces including RAG, chat, and dashboards.
• Integrate AWS AI services (Bedrock, SageMaker) and LLM APIs into front-end applications.
• Collaborate with data scientists and backend engineers to create real-time streaming feedback for users.
• Document and mentor teams on Streamlit and front-end patterns.

Requirements

• Bachelor’s in Computer Science, Software Engineering, HCI or related.
• 3+ years frontend development, 1+ years in AI/ML or LLM applications.
• Proven production experience with Streamlit; Python proficiency required.
• Experience with RAG systems, prompt engineering tools, document processing interfaces.
• Knowledge of AWS services, RESTful APIs, WebSockets, UI/UX principles, Section 508 accessibility, security best practices.

Nice to have

• React, Angular, or Vue.js.
• JavaScript/TypeScript.
• Databricks, Collibra, data viz libraries (Plotly, Altair, Matplotlib).
• Docker, CI/CD, MLOps.
• Regulated industries experience (Finance, Government, Healthcare).

Culture & Benefits

• Major medical, dental, vision, 401k, statutory sick pay for assignments 13+ weeks.
• Reasonable accommodations for disabilities.
• Equal opportunity employer, considers qualified applicants regardless of criminal history per fair chance laws.