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# Front End AI Engineer

- **Company:** Matlen Silver
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $187,200.0 - $208,000.0
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, D3.Js, Github, Design of User Interfaces, Machine Learning, OAuth, Performance Tuning, Software Product Management, Systems Development Life Cycle, Prometheus, Scaled Agile Framework, TypeScript, Web Performance Optimization, WebSocket, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, State Machines, Backend, Event Driven Architecture, Containerization, Material UI, Kubernetes, Low Latency, Enterprise Integration, Real Time Data, Plotly, Front End Software Development, React Redux, Virtual Agents, Docker, Jenkins, Microservices
- **Published:** May 21, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=117d5cc86a4d200b

## About the Role

Do you have experience in UI implementation?, * Hands-on AI agent development - experience building agentic workflows using LangChain, LangGraph, MCP, or similar orchestration frameworks

 * 5+ years AI/ML engineering - production-grade LLM, RAG, or ML system development
 * Strong React + TypeScript engineering - modern component patterns, state management, real-time UI, and performance optimization
 * Java experience - enterprise or production use (Java 18 preferred)
 * CI/CD pipeline experience - GitHub Actions, Jenkins, or equivalent for deploying front-end and full-stack features
 * Cloud engineering experience - GCP preferred; AWS or Azure acceptable
 * LLM integration experience - connecting front-end workflows to LLM reasoning, retrieval, and agent outputs
 * RAG pipeline familiarity - grounding LLM responses with vector stores, embeddings, and retrieval flows
 * Real-time data visualization - WebSockets, charts, dashboards, or interactive telemetry views
 * Agile engineering collaboration - working with AI/ML, backend, and platform teams to ship features quickly

***Due to client requirements this role is only open to USC or GC candidates***

Desired Skills

 * Experience with multi-agent architectures - designing agent collaboration patterns, state machines, and tool-calling flows
 * Advanced RAG pipeline design - embeddings, re-ranking, vector DB tuning, and grounding strategies
 * Strong UI/UX intuition - building intuitive workflows, dashboards, and interactive AI-driven interfaces
 * Real-time visualization frameworks - Plotly, Recharts, D3.js, or similar charting libraries
 * Backend integration experience - connecting React front-ends to Java APIs, microservices, and event-driven systems
 * Performance tuning for LLM-powered UIs - caching, streaming responses, and optimizing latency
 * Containerization and cloud-native delivery - Docker, Kubernetes, and cloud deployment patterns
 * Monitoring and observability familiarity - OpenTelemetry, Prometheus, Grafana, or similar tooling
 * Security best practices - JWT/OAuth, secure API integration, and front-end hardening
 * Experience with modern state management - Redux Toolkit, Zustand, or equivalent
 * Comfort working in fast-moving AI product teams - rapid iteration, experimentation, and cross-functional collaboration

## Description

The AI Front End Engineer will build and support a mission-critical agentic AI platform by developing high-performance React/TypeScript interfaces, integrating multi-step LLM workflows, and delivering production-grade front-end features that interact with Java-based backend services. This role ensures reliability, scalability, and seamless user experience across a next-generation AI automation environment. The engineer will design UI components, integrate AI agents, optimize front-end performance, and work closely with AI/ML, backend, and cloud engineering teams to deliver intelligent, low-latency workflows in a fast-paced engineering organization.

Project Details:
This position supports a large-scale AI engineering initiative focused on building an enterprise-grade agentic automation platform. The engineer will work on front-end architecture, LLM/agent integrations, real-time data visualization, CI/CD deployments, and cloud-native delivery (GCP preferred). The team is currently expanding its AI agent capabilities and needs someone with strong React/TypeScript depth, Java familiarity, and hands-on experience creating and deploying AI-driven workflows. The engineer will collaborate across AI, platform, and backend teams to ship new features, improve performance, and ensure stable, secure, and scalable front-end experiences.

***Due to client requirements this role is only open to USC or GC candidates***


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