Top Remote Automation Engineer Jobs

Design and implement AI-native workflow orchestration and automation systems for legal services. Build integrations between AI models, CRMs, document systems, client portals, and internal tools. Develop agent workflows, vector retrieval and observability pipelines, monitor reliability and performance, troubleshoot integrations, and support governance, compliance, and scalable client experiences.

Design, build, and maintain automation and IaC for Azure and Microsoft 365 environments. Automate identity, licensing, Teams/Exchange/SharePoint workflows using Microsoft Graph API and PowerShell. Implement and operate Azure services, Entra ID, Windows Server, and ensure security, compliance, and disaster recovery. Collaborate with cross-functional teams to reduce manual effort and improve reliability.

Design, build, test, deploy, and support internal AI-enabled web applications, APIs, dashboards, and workflow automations. Lead QA automation, integrate systems, establish engineering and deployment standards, and collaborate with stakeholders to improve operational efficiency and govern responsible AI use.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

Design, build, and maintain automated migration workflows to onboard dental practices. Implement C#, .NET, and PowerShell scripts, manage ETL processes and SQL data transformations, troubleshoot live routines, leverage AI tools to speed development, and produce technical documentation to ensure secure, reliable migrations.

Develop and maintain web and desktop applications using .NET technologies. Requires strong programming skills, experience with databases, and project management.

As a Software Engineer, you will create tools and pipelines for AI development, manage data solutions for ML teams, and ensure high-quality code.

Build and scale reliable browser automation systems and execution infrastructure. Design stealth automation engines using browser fingerprinting and proxy management, orchestrate thousands of concurrent long-running workflows, and implement AI-assisted, self-healing scripts that adapt to dynamic UIs and maintain high consistency and low latency in production.