AI Engineer (Agentic Engineering)

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.

At GBS Group, we empower entrepreneurs and executives to launch, operate, and manage their businesses in the US through comprehensive Start-Up Services, Financial & Tax Advisory, and operational support. As we expand our internal capabilities, we are strategically investing in AI-native workflows, advanced automation, and robust engineering systems to enhance our development, operational, and delivery processes.

We are seeking an innovative Agentic Engineering Developer, also known as an AI Coder, to play a pivotal role in designing, building, and maintaining cutting-edge software solutions. This position places a strong emphasis on agentic engineering principles, AI-assisted development, and the creation of internal developer tooling. This is not a conventional developer role; we require an individual who is highly proficient and comfortable operating within AI-native engineering environments. Daily execution will involve leveraging coding agents, terminal-based workflows, Git-driven collaboration, and secure developer infrastructure.

This opportunity is ideal for a developer capable of operating effectively within agentic coding environments. You will contribute to building the essential tools, workflows, and infrastructure that power these systems, while also actively participating in hands-on production application development. Candidates should demonstrate high proficiency in software development and possess strong confidence in working with Git, AI coding agents, terminal-first workflows, SSH-based remote development, MCP servers, Docker-based environments, CI/CD pipelines, and related developer systems.

This is a high-accountability role for a proactive builder who thrives on execution, demonstrates swift and sound judgment, and is eager to help define the future of AI-native engineering.

Key Responsibilities

• Agentic Engineering: Design and implement software development workflows that harness AI agents for code generation, refactoring, debugging, testing, documentation, and delivery, all while upholding rigorous engineering judgment and code quality standards.
• Internal AI Tooling: Contribute to the development and enhancement of internal tools, automation layers, interfaces, and workflows that facilitate the effective operation of AI coding agents within our environment.
• End-to-End Development: Build, test, deploy, and maintain internal tools, integrations, automations, and product features across back-end, front-end, and infrastructure layers as required.
• Git & PR Ownership: Manage branches, pull requests, merges, reviews, and repository hygiene with strong discipline and ownership.
• Terminal-First Execution: Work efficiently in modern terminal environments, utilizing CLI-based workflows, remote development setups, AI-native developer tools, and associated systems.
• Secure Developer Operations: Configure and manage SSH keys, access credentials, environment variables, remote systems, and adhere to development security best practices.
• MCP & Tool Integrations: Collaborate with MCP servers and related systems to integrate AI tools with development context, internal systems, and operational workflows.
• Code Quality & Validation: Ensure that both agent-assisted and human-authored code consistently meets high standards for correctness, readability, maintainability, and test coverage.
• Debugging & Systems Problem Solving: Diagnose and resolve issues across various applications, APIs, databases, infrastructure, environments, and tooling layers.
• Workflow Automation: Identify repetitive engineering and operational tasks, then design automations and developer tooling to minimize manual effort and enhance speed.
• Cross-Functional Collaboration: Work closely with operations, product, and leadership teams to translate business requirements into reliable technical systems.
• Continuous Improvement: Stay abreast of the latest AI coding tools, agentic development patterns, and modern software engineering workflows to continuously improve team performance.

Requirements & Qualifications

• Strong Development Background: 5+ years of experience in software development, with a proven ability to build and maintain production-ready applications, automations, or internal tools.
• Agentic Engineering Experience: Demonstrated hands-on experience working within agentic engineering workflows, utilizing AI agents as a fundamental component of software delivery, not merely as occasional assistants.
• Laravel Expertise: Strong hands-on experience building and maintaining production applications using Laravel.
• PHP Proficiency: Solid command of PHP and Laravel conventions, including APIs, authentication, queues, jobs, scheduling, and database-driven architecture.
• AI-Native Development Workflow: Comfortable operating in environments where coding agents, CLI workflows, Git-based review cycles, and tool orchestration are central to execution.
• Agentic Development in Laravel: Comfortable using AI agents within Laravel codebases for feature development, debugging, refactoring, testing, and delivery support.
• Git Proficiency: Strong command of Git-based collaboration, including branching strategies, pull requests, code reviews, and merge conflict resolution.
• Terminal Fluency: High level of comfort working in terminal-based environments and modern developer tooling ecosystems.
• Developer Tooling & Infrastructure: Strong practical experience with Git, terminal-first workflows, SSH-based remote development, AI-assisted development tools, containerized development using Docker / Docker Compose, and modern CI/CD pipelines.
• Laravel / PHP Tooling: Hands-on experience with Composer, testing frameworks such as PHPUnit or Pest, and code quality tools such as Laravel Pint and PHPStan.
• Application Operations Knowledge: Experience working with queues, jobs, schedulers, Redis-backed workflows, and API / webhook integrations in production-style applications.
• MCP / Advanced Tooling Familiarity: Experience working with MCP servers or similar context/integration layers for AI-enabled development workflows is strongly preferred.
• Systems Builder Mindset: Ability not only to use AI coding tools effectively but also to contribute to the design, improvement, and extension of the underlying tooling and workflows.
• Human-in-the-Loop Judgment: Strong engineering judgment to validate AI-generated output, maintain code quality, and ensure safe implementation and review standards.
• Clear Communication: Strong written and verbal English communication skills.

Nice to Have

• Experience building internal developer tools or AI-powered engineering workflows.
• Experience with coding agents, agent orchestration, or unattended code generation systems.
• Familiarity with cloud deployment, containerized environments, and automated validation pipelines.
• Experience integrating LLMs, APIs, or agent-based systems into real business workflows.
• Experience with Vue, React, Livewire, or Inertia is a plus.

What We Offer You

• Competitive compensation based on experience and impact.
• The opportunity to help shape how GBS Group builds with AI-native engineering workflows.
• A high-autonomy environment where speed, ownership, and innovation are valued.
• Flexible Time Off and company-wide holidays.
• The chance to build meaningful internal tools, systems, and developer infrastructure with real business impact.