Remote Ai Automation Engineer

Remote Ai Automation Engineer - Detalhes da Vaga. ● This is a hands-on role for someone who can bridge operational workflow design with applied AI engineering, taking ownership of projects from process discovery through production deployment. ●The ideal candidate will analyze current-state business operations, redesign workflows for automation, architect multi-agent systems, and build scalable solutions on Azure. ● This role requires strong technical execution, business-process reengineering expertise, and the ability to independently deliver reliable, cost-effective AI solutions in production environments. ●Required SkillsProven experience building AI agents from scratch using modern coding-agent tools such as Codex, Claude Code, or similar frameworksStrong understanding of agent orchestration, including multi-agent systems, tool usage, retrieval, memory management, state handling, and agent coordinationHands-on experience deploying and managing applications in Azure Container Apps and/or Azure Function AppsAbility to map, analyze, and redesign business processes for automation opportunitiesExperience working directly with business stakeholders to identify and implement workflow improvementsExpertise in model selection, cost optimization, latency management, and AI system performance tuningStrong software engineering skills using Python and/or TypeScriptExperience building APIs, automated testing frameworks, CI/CD pipelines, and production-ready applicationsKnowledge of observability, monitoring, error handling, evaluation frameworks, and AI guardrailsAbility to work independently and deliver solutions with minimal supervisionBonus SkillsExperience with agent evaluation and observability platforms, including tracing and prompt/version managementBackground in management consulting, operations, or business-process reengineeringFamiliarity with Azure AI Services, Azure OpenAI, and related Azure ecosystem toolsExperience integrating AI solutions with enterprise platforms such as CRM, ERP, ticketing, or data warehouse systemsPrior experience in professional-services, consulting, or client-delivery environmentsExperience designing scalable multi-agent ecosystems and orchestration layersPortfolio of production AI-agent deployments, demos, repositories, or technical write-upsOffer DetailsContractor position (no medical/paid leave)Full-time dedication (40 hours/week)U. ●S. ● business-hours overlap required. Requisitos para participar do processo. ● . O que oferecemos.