Top Remote Automation Engineer Jobs

The AI Engineer will develop scalable AI systems, automate workflows, and collaborate with business teams to enhance operational efficiency across OpenSesame.

Build and deploy AI agents that automate internal business processes. Responsibilities include authoring reusable agent skills, connecting agents to systems of record through MCP, creating evaluation sets, deploying production workflows with permissions and audit trails, supporting agents in production, and partnering with data engineers. The role requires strong Python, SQL, LLM application development, agent tooling, coding-agent experience, operational deployment skills, and the ability to translate business processes into reliable automated workflows.

Design, build, and maintain web crawlers and scraping pipelines using Python and scraping libraries. Overcome IP/geolocation/captcha/bot-blocking, write SQL and use SQLAlchemy, deploy scripts to Linux AWS servers, and build REST APIs with web frameworks.

Responsible for developing automated solutions, improving customer success processes, providing technical support, and training team members on automation tools.

The AI Automation Engineer will automate internal processes, mentor non-technical staff on building tools, and ensure solutions deliver measurable business impact using AI technologies.

Develop and maintain automated web, API, and mobile application tests using TypeScript and Playwright. Integrate test automation into Azure DevOps CI/CD pipelines, manage SQL Server test data, create test plans, monitor testing metrics, and promote quality best practices. Collaborate with business analysts and developers in an Agile environment, participate in sprint planning, assess testing risks, and mentor manual testers and other automation resources.

Leads architecture, development, and execution of backend API, service, data pipeline, and frontend automation for an autonomous vehicle fleet operations platform. Establishes CI/CD quality gates, validates integrations, analyzes failures, collaborates cross-functionally, and mentors an automation engineer. Supports evolving platform requirements, after-hours releases, and occasional domestic on-site testing or deployments.

Design custom industrial machinery, automation equipment, robotic tooling, fixtures, and mechanical systems from concept through commissioning. Create CAD models, manufacturing drawings, bills of materials, and engineering documentation using GD&T and design-for-manufacturing principles. Support fabrication, machining, welding, assembly, prototyping, testing, troubleshooting, and continuous improvement while collaborating with manufacturing, controls, suppliers, project management, and technicians.

Design, program, test, install, and commission SCADA, relay, and PLC systems (primarily SEL/RTAC). Produce schematics, configuration files (IEC61850, DNP3, MODBUS), AutoCAD drawings, perform field commissioning/troubleshooting, and prepare project documentation. Support clients and perform periodic interstate field assignments.

Design and automate deployment pipelines for enterprise API Gateway implementations. Develop CI/CD/GitOps workflows, infrastructure and configuration automation, and support API deployments using tools like Terraform, Ansible, Jenkins, and container platforms.

Design and build automated API onboarding, lifecycle management, deployment automation, and developer self-service. Implement REST APIs, infrastructure-as-code, CI/CD pipelines, and Git-based workflows. Integrate developer portals, API publishing/governance, and enterprise integration for a federal contractor environment.

The AI Automation Engineer will apply AI in finance operations to automate processes like AP, AR, and reconciliation, ensuring compliance and performance measurement.

Design, develop, and implement network automation solutions for GPON/XGS-PON and IP multi-vendor environments. Lead scripting (Python, Go), CI/CD pipelines, integrations, documentation, mentoring, and automation of provisioning, monitoring, and reporting to boost operational efficiency.

Implements, configures, maintains, and modernizes pricing tools and automated business systems. Designs software solutions, integrations, scripts, workflows, monitoring, and reporting using VBA, SQL, Power Query, APIs, and Microsoft Power Platform. Translates user requirements into technical designs, performs coding, testing, code reviews, documentation, quality checks, and issue resolution. Collaborates with Finance, Proposal Management, Contracts, Commercial Operations, vendors, testers, and business users while improving scalability, governance, data integrity, and auditability.

Designs and executes automated, API, UI, regression, smoke, and end-to-end tests for cloud-native and air-gapped federal environments. Integrates test suites with GitLab CI and Jenkins, validates security and compliance baselines, diagnoses Linux and Windows systems, and documents test plans, defects, and results. The role supports reliable deployment of cyber-physical security solutions across government and critical infrastructure environments.

Design, program, integrate, and commission industrial automation systems combining PLCs, HMIs, robotics, and machine vision. Responsibilities include developing controls and safety PLC programs, integrating I/O and communications, configuring 2D and 3D vision systems, supporting AI-enabled inspection tools, troubleshooting technical issues, and optimizing system accuracy, uptime, and repeatability. The role involves onsite commissioning and collaboration across the full project lifecycle, with travel across the United States and Canada as required.

The AI Automation Engineer develops AI-driven systems to automate sales and marketing workflows, partnering with various teams to enhance revenue generation and process efficiency.

Own the design and implementation of WISEcode’s automated quality engineering ecosystem. Build AI-augmented UI, API, integration, regression, database, performance, and reliability testing frameworks for ASP.NET and Blazor applications. Integrate testing into CI/CD, improve observability and release confidence, investigate failures and race conditions, validate AI/ML outputs, and establish scalable quality standards and metrics across engineering teams.

Build and maintain automation and API integration solutions using Node.js and TypeScript. Reverse-engineer web APIs, handle bot-detection mitigation, implement scalable data extraction, own SDLC including QA and deployments, and collaborate with teams to deliver production-ready features.

Develop and maintain AI-enhanced automated testing for Next.js UIs and backend APIs, integrate tests into CI/CD, automate workflows, apply ML/NLP to improve test generation, and build dashboards to monitor automation health.

Design, build, and maintain n8n-based automated workflows and integrations. Integrate CRMs, marketing tools, databases, and APIs; develop custom nodes or scripts when needed; monitor, troubleshoot, and optimize automation performance; collaborate with cross-functional teams and document processes while ensuring data integrity and scalability.

Design, build, and maintain scalable automated workflows and integrations using platforms like n8n, Zapier, Make, or Workato. Integrate systems via APIs/webhooks, troubleshoot workflow issues, monitor performance, document processes, and support data synchronization across CRMs and business tools while collaborating with cross-functional teams.

Design, build, and maintain internal low-code/no-code automations and integrations. Create advanced Google Sheets systems, multi-step Zapier/Make automations, API/webhook integrations, and Notion knowledge/workflow hubs. Implement AI-powered workflows, identify operational bottlenecks, and document scalable systems to improve efficiency across CRM, marketing, and fulfillment processes.

Work with other automation testers to design, create, and maintain Selenium-based automated test scripts. Perform API testing with Postman, apply OOP principles, use Java/TestNG/Maven/Eclipse, log and track issues in Jira, and run basic SQL queries to validate data. Remote role requiring EST hours for a 12+ month engagement.

Build and maintain scalable data pipelines and Python automations for ingesting, processing, and enriching data. Integrate SaaS sources via APIs, use Databricks/PySpark/Delta Lake and AI tools to power lead generation, enrichment, deduplication, and entity resolution. Collaborate cross-functionally to translate business needs into automated, production-ready solutions.