Senior Automation & AI Platform Engineer

Location: Remote - Anywhere in LATAM

Job Type: Full-Time - Independent Contractor

Compensation: USD 

To be considered for this position, you must have an advanced level of English & Spanish

At GBS Group, we help entrepreneurs and executives start, run, and manage their businesses in the United States through Start-Up Services, Financial & Tax Advisory, and operational support solutions. As we continue scaling our internal capabilities, we are investing heavily in automation, AI-driven workflows, and internal platforms that improve how we operate, deliver, and scale. We are building a high-leverage internal systems layer powered by automation and AI—and this role is critical to that effort.

This role owns the design, development, deployment, security, and maintenance of internal tools, automation systems, and AI-driven workflows. It combines internal product development, platform engineering, DevOps, and applied AI systems to improve operational efficiency and scale business processes. You will also be responsible for the security, reliability, and integrity of these systems, ensuring safe handling of data, access, and system interactions across all automation and AI workflows.

This is a high-ownership, builder role for someone who thinks beyond code and focuses on driving real business impact through systems.

Key Responsibilities

Internal Tools & Platforms

• Build and evolve internal tools that support core business operations
• Design systems that improve operational efficiency and scalability
• Treat internal tools as products with long-term ownership

Automation & System Orchestration

• Design and implement automation across workflows, systems, and data pipelines
• Connect APIs, third-party tools, and internal systems into cohesive workflows
• Continuously identify and execute high-impact automation opportunities

AI Systems & Workflows

• Integrate AI tools, copilots, and agent-based processes into day-to-day operations
• Design and manage AI-driven workflows that are reliable and production-ready
• Establish guardrails for AI usage (data exposure, prompt injection risks, etc.)

Infrastructure, DevOps & Reliability

• Own CI/CD pipelines, deployment processes, and environment management
• Maintain infrastructure reliability, monitoring, and observability
• Troubleshoot system failures, integration issues, and performance bottlenecks

Security & System Integrity

• Implement and maintain security best practices across internal tools and AI workflows
• Manage authentication, authorization, and access controls (RBAC, secrets, API keys)
• Ensure secure handling of sensitive data across integrations and AI systems
• Monitor for vulnerabilities, misconfigurations, and potential abuse
• Protect systems against risks specific to AI-enabled environments

Cross-Functional Impact

• Work closely with operations and leadership to translate business needs into systems
• Improve how teams operate by reducing manual work and increasing leverage

What Makes Someone Successful Here

• Thinks like a product builder, not just a developer
• Comfortable owning systems end-to-end (build → deploy → maintain → improve)
• Strong at debugging messy, real-world system issues
• Understands tradeoffs between speed (AI-assisted builds) and reliability
• Focused on business outcomes, not just technical elegance
• Proactively identifies opportunities to improve systems and processes

Requirements & Qualifications

• 5+ years of experience in software engineering, platform engineering, or similar roles
• Proven experience building and maintaining internal tools, automation systems, or operational platforms
• Strong backend and system design fundamentals, with the ability to design scalable, reliable systems
• Experience with API integrations and system orchestration, connecting multiple tools and services into cohesive workflows
• Practical experience with CI/CD pipelines, deployment workflows, and infrastructure management
• Familiarity with observability, logging, and monitoring systems to ensure reliability and performance
• Strong experience designing and implementing workflow automation and system optimization
• Ability to analyze processes and identify opportunities to improve operational efficiency
• Hands-on experience working with AI tools in production environments, including LLMs, agents, or automation platforms
• Ability to integrate AI into real business workflows with sound judgment
• Understanding of agent-based systems and orchestration patterns
• Solid understanding of security fundamentals, including authentication, authorization, encryption, and secrets management
• Experience with secure API design and integration practices
• Familiarity with common vulnerabilities (OWASP mindset) and ability to identify risks
• Understanding of AI-specific security risks, such as data leakage, prompt injection, and over-permissioned agents
• Strong debugging and troubleshooting skills across applications, infrastructure, and integrations
• Ability to navigate and resolve complex, real-world system issues
• Strong understanding of system reliability, performance, and operational excellence
• Ability to operate independently with high ownership and accountability

Nice to Have

• Experience designing AI-powered internal platforms or automation layers
• Experience with agent-based systems or workflow orchestration tools
• Familiarity with cloud platforms and containerized environments
• Background in scaling internal systems in fast-growing companies

What We Offer You

• Competitive compensation based on experience and impact
• High-autonomy environment with strong ownership expectations
• The opportunity to shape how GBS builds automation-first and AI-native systems
• Flexible time off and company-wide holidays
• Direct impact on business efficiency and scalability
• A role focused on building systems that matter, not just shipping code