AI Implementation & Automation Engineer (Remote | LATAM Only)

Summary:We're hiring an AI Implementation & Automation Engineer to help a growing U.

• Summary:
• We're hiring an AI Implementation & Automation Engineer to help a growing U.S.-based company identify, build, and scale AI-powered solutions across its business operations.
• This is a hands-on technical role combining AI development, business process automation, systems integration, and operational efficiency.
• We're looking for someone who can understand how an entire business process works, identify inefficiencies, and design, develop, implement, and maintain AI-driven solutions from the ground up .
• You'll work closely with leadership, development, and operations teams to improve existing systems, automate repetitive tasks, and build scalable solutions that deliver measurable business results.
• This is not a traditional virtual assistant role or a position focused on simply using AI tools. We need a technical builder who can independently evaluate business problems, develop solutions, and take ownership of their ongoing performance.
• What You'll O wn:
• Analyze business processes and identify opportunities for AI and automation.
• Design and implement AI agents, automated workflows, and system integrations.
• Connect CRMs, APIs, databases, and third-party platforms.
• Improve operational efficiency by reducing repetitive manual work.
• Build scalable, reliable solutions that support multiple departments.
• Test, troubleshoot, monitor, and maintain implemented automations.
• Document technical architecture, workflows, integrations, and dependencies.
• Measure the business impact and ongoing performance of implemented solutions.
• Core Responsibilities:
• Business Process Analysis & Automation Strategy
• Audit existing workflows across departments, starting with Inside Sales .
• Map end-to-end business processes to understand how information, tasks, and decisions move between teams.
• Identify bottlenecks, redundant tasks, manual data entry, and operational inefficiencies.
• Evaluate which processes can be improved through AI, automation, or system integrations.
• Recommend solutions based on technical feasibility, implementation effort, and expected business impact.
• Develop implementation roadmaps with clear priorities, milestones, and deliverables.
• AI Development & Implementation
• Design and implement automated workflows across multiple business platforms.
• Integrate APIs, CRMs, databases, and third-party applications .
• Build and maintain reliable data flows between systems.
• Automate lead management, CRM updates, follow-ups, appointment workflows, and internal handoffs.
• Collaborate with development teams to extend, improve, or rebuild existing systems when necessary.
• Identify opportunities to consolidate tools and simplify operational processes.
• Workflow Automation & Systems Integration
• Test AI agents, integrations, and automation workflows before deployment.
• Troubleshoot errors, failed workflows, and data inconsistencies.
• Monitor implemented solutions to ensure reliability and performance.
• Maintain and improve automations as business requirements evolve.
• Identify potential risks, system dependencies, and operational vulnerabilities.
• Evaluate AI usage, API consumption, and operating costs to maintain cost-effective solutions.
• Technical Documentation & Project Ownership
• Document system architecture, automation logic, workflows, and integrations.
• Maintain clear records of dependencies, configurations, and system ownership.