Senior Agentic AI Engineer

Vaga não está no LinkedIn

🕒 Março 6

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Rayda

SiteLinkedInTodas as Vagas

11 - 50 funcionários

📦 Logística

💼 Consultoria

🏥 Saúde

💰 Pre seed em 2023-02

Logistics • Consulting • Healthcare

Rayda é uma plataforma SaaS que automatiza a gestão do ciclo de vida de dispositivos de funcionários para empresas em âmbito global. Ela lida com aquisição, pré-configuração, envio internacional, rastreamento, manutenção, limpeza segura de dados, recolhimento, armazenamento, seguro e descarte sustentável em mais de 170 países, permitindo que as equipes de TI, RH e operações equipem rapidamente e de forma confiável os funcionários remotos. A Rayda centraliza o rastreamento e documentação de dispositivos, reduz os tickets e custos relacionados a dispositivos e acelera os fluxos de trabalho de integração e desligamento para clientes empresariais distribuídos.

Descrição

• Design, develop, and deploy autonomous AI agents and multi-agent systems for real-world business applications. • Architect agentic workflows that leverage planning, reasoning, memory, tool usage, and autonomous execution. • Build and optimize Retrieval-Augmented Generation (RAG) systems, knowledge retrieval pipelines, and vector database integrations. • Develop scalable agent orchestration frameworks using tools such as LangGraph, CrewAI, AutoGen, OpenAI Agents SDK. • Integrate AI agents with internal systems, APIs, databases, enterprise platforms, and third-party tools. • Implement agent evaluation, monitoring, observability, and guardrail mechanisms to ensure reliability and safety. • Collaborate with product, engineering, and business teams to identify opportunities for intelligent automation and AI-driven innovation. • Drive technical leadership, architectural decisions, and AI best practices across the organization.

🎯 Requisitos

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. • 7+ years of software engineering experience, including experience building scalable distributed systems. • 3+ years of hands-on experience developing and deploying AI/ML solutions in production. • Strong proficiency in Python and modern AI development frameworks. • Demonstrated experience building AI agents, autonomous workflows, and agent orchestration systems. • Expertise in Large Language Models (OpenAI, Anthropic, Gemini, Llama, Mistral, or equivalent). • Strong understanding of prompt engineering, tool calling, function execution, memory systems, and agent planning strategies. • Experience with vector databases, embeddings, semantic search, and Retrieval-Augmented Generation (RAG). • Strong knowledge of APIs, microservices, CI/CD pipelines, Docker, and MLOps practices.