foundational AI Frontend Engineer

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., AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program. _Participation_Poster_ES.pdf

We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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. Equal Opportunity Employer / Disabled / Protected Veterans