Front End AI Engineer Location: Georgia United States Job Description: Duration: Contract to hire Location: Remote Required Pay Scale: $90-$100/hr W2 (No C2C!!) - Due to client requirements this role is only open to USC or GC candidates* Job Summary: 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* Must Haves - 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 - Due to client requirements this role is only open to USC or GC candidates* About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: [email protected].

• Desenvolver soluções robustas e escaláveis em Python para projetos de inteligência artificial. • Projetar e implementar pipelines com Large Language Models (LLMs), incluindo integração com APIs de modelos de linguagem e orquestração de fluxos de inferência. • Construir e evoluir sistemas de Retrieval-Augmented Generation (RAG), conectando bases de conhecimento a modelos de linguagem para respostas mais precisas e contextualizadas. • Desenvolver e refinar estratégias de prompt engineering para otimizar o desempenho de modelos em diferentes casos de uso. • Definir padrões técnicos e promover boas práticas de codificação, segurança e performance junto ao time. • Liderar a resolução de questões técnicas críticas que envolvam múltiplos sistemas e áreas do negócio. • Criar e manter pipelines de CI/CD eficientes, diagnosticando e solucionando falhas em ambiente produtivo. • Propor arquiteturas para APIs com foco em alta confiabilidade e alinhamento estratégico.

Role Description We are looking for people who are proficient in one or more of the following languages: English, French, German, Italian, Chinese, Portuguese, or Russian (and others!) to teach classes, adapting content to each student’s needs and fostering a positive and motivating learning experience. - Deliver personalized lessons based on the student’s level. - Work on vocabulary, grammar, and conversation skills. - Adapt content according to the student’s goals. Qualifications - Proficiency in the language you will be teaching (certification is desirable but not mandatory). - Strong communication skills. - Basic knowledge of online tools (Zoom, Google Meet, etc.). - Teaching experience is not required. Benefits - Compensation: Competitive rates between 20€ and 40€ per hour. - Flexibility: Complete control over your schedule and training locations. - Modality: In-person sessions (local pitches/parks) or online technical theory. - Autonomy: Independence to organize your own training programs and client base. Company Description Nachhilfeunterricht ist das führende Nachhilfeportal in Spanien, Frankreich, Italien und Lateinamerika und hat seit 2007 mehr als 3 Millionen Schülern geholfen, ihren idealen Lehrer zu finden. Und jetzt auch in Deutschland als Teil der führenden Nachhilfeplattform Gostudent. Über 3 Mio. Schüler lernen bereits bei uns. Unser Ziel ist es, Millionen von Lehrern mit Schülern zusammenzubringen, um neues Wissen in Hunderten von verschiedenen Fächern zu lehren und zu erlernen, mit Online- oder Präsenzunterricht, überall auf der Welt. Gib Nachhilfe für alle Schüler, die Hilfe in ihrem Schulalltag benötigen.

Role Description Ti appassiona l’intelligenza artificiale e vorresti insegnare online con massima flessibilità? In Letuelezioni cerchiamo insegnanti di Intelligenza Artificiale per offrire lezioni e workshop online a studenti di diversi livelli. Organizza le tue lezioni secondo i tuoi ritmi e aiuta gli studenti ad apprendere da casa in modo pratico e personalizzato. Di cosa ti occuperai: - Tenere lezioni e workshop su intelligenza artificiale, machine learning e strumenti AI come ChatGPT, Python, modelli predittivi e altri strumenti digitali. - Spiegare concetti, tecniche e applicazioni pratiche in modo chiaro e accessibile. - Adattare i contenuti in base al livello, agli obiettivi e alle esigenze dello studente. - Seguire i progressi degli studenti e offrire feedback personalizzato. Qualifications - Conoscenze di intelligenza artificiale, programmazione di base o strumenti AI moderni. - Buone capacità comunicative e didattiche. - Conoscenza di base di piattaforme online come Zoom, Google Meet o simili. - Non è richiesta esperienza precedente nell’insegnamento. Benefits - Lezioni online o in modalità mista, a scelta dell’insegnante. - Orario flessibile e piena autonomia nell’organizzazione delle lezioni. - Remunerazione competitiva. - Visibilità all’interno della nostra piattaforma educativa. - Possibilità di far parte di una community educativa in crescita.