We are seeking a foundational AI Frontend Engineer to join a high-impact team dedicated to building the next generation of generative AI applications within a highly regulated Federal environment. In this hybrid role, you will be the primary architect for how users interact with complex AI/ML models, setting the standard for UI/UX patterns across the entire organization.
You will work with a modern, cloud-native stack to build scalable, secure interfaces that bridge the gap between sophisticated data science and intuitive user experiences for economists, analysts, and stakeholders.
Core Responsibilities
• Lead AI App Development: Design and deploy production-ready user interfaces for GenAI applications, using Streamlit as your primary framework.
• Establish Patterns: Define the organization's UI/UX best practices for AI interfaces, including RAG (Retrieval-Augmented Generation) systems, chat interfaces, and interactive dashboards.
• Cloud Integration: Seamlessly integrate AWS AI services (Bedrock, SageMaker) and LLM APIs into responsive front-end applications.
• Cross-Functional Collaboration: Partner with Data Scientists and Backend Engineers to translate complex model outputs into real-time, streaming feedback mechanisms for non-technical users.
• Support & Enablement: Create comprehensive documentation and mentor internal teams on Streamlit best practices and front-end development patterns.
Technical Qualifications
• Education: Bachelor's degree in Computer Science, Software Engineering, HCI, or a related technical field.
• Frontend Expertise: 3+ years of experience in frontend development, with at least 1+ years specifically building AI/ML or LLM-powered applications.
• Streamlit Mastery: Proven experience building production-grade applications using Streamlit. Supplemental experience with React, Angular, or Vue.js is a plus.
• Programming: High proficiency in Python is required. Experience with JavaScript/TypeScript is beneficial.
• AI/LLM Knowledge: Practical experience building interfaces for RAG systems, prompt engineering tools, and document processing applications.
• Cloud & APIs: Working knowledge of AWS services and experience consuming RESTful APIs and WebSockets.
• Compliance & Design: A strong grasp of UI/UX principles, accessibility standards (Section 508), and security best practices for web applications.
Preferred Skills
• Experience with Databricks, Collibra, or modern data platform tools.
• Familiarity with containerization (Docker) and CI/CD/DevOps pipelines.
• Background in highly regulated industries (Financial Services, Government, or Healthcare).
• Knowledge of data visualization libraries such as Plotly, Altair, or Matplotlib.
• Understanding of MLOps and model deployment patterns.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA
