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 help entrepreneurs and executives start, run, and manage their businesses in the US through Start-Up Services, Financial & Tax Advisory, and operational support solutions. As we continue scaling our internal capabilities, we are investing in AI-native workflows, automation, and engineering systems that improve how we build, operate, and deliver.

We are looking for an Agentic Engineering Developer (AI Coder) to help us design, build, and maintain modern software solutions with a strong emphasis on agentic engineering, AI-assisted development, and internal developer tooling. This is not a traditional developer role. We need someone who is deeply comfortable working in AI-native engineering environments where coding agents, terminal-based workflows, Git-driven collaboration, and secure developer infrastructure are part of day-to-day execution.

This role is ideal for a developer who can operate effectively inside agentic coding environments and help us build the tools, workflows, and infrastructure behind them, while also contributing hands-on to production application development. You should be highly capable in software development and confident 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 builder who thrives on execution, moves fast with good judgment, and is ready to help us shape how AI-native engineering gets done.

Key Responsibilities

Agentic Engineering: Design and execute software development workflows that leverage AI agents for code generation, refactoring, debugging, testing, documentation, and delivery while maintaining strong engineering judgment and code quality.

Internal AI Tooling: Help build and improve the internal tools, automation layers, interfaces, and workflows that enable AI coding agents to operate effectively in 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 needed.

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 using CLI-based workflows, remote development setups, AI-native developer tools, and related systems.

Secure Developer Operations: Configure and manage SSH keys, access credentials, environment variables, remote systems, and development security best practices.

MCP & Tool Integrations: Work with MCP servers and related systems to connect AI tools to development context, internal systems, and operational workflows.

Code Quality & Validation: Ensure agent-assisted and human-authored code meets high standards of correctness, readability, maintainability, and test coverage.

Debugging & Systems Problem Solving: Troubleshoot issues across applications, APIs, databases, infrastructure, environments, and tooling layers.

Workflow Automation: Identify repetitive engineering and operational tasks, then design automations and developer tooling to reduce manual work and improve speed.

Cross-Functional Collaboration: Work closely with operations, product, and leadership to translate business needs into reliable technical systems.

Continuous Improvement: Stay current with AI coding tools, agentic development patterns, and modern software engineering workflows that can improve team performance.

Requirements & Qualifications

Strong Development Background: 5+ years of experience in software development, with the ability to build and maintain production-ready applications, automations, or internal tools.

Agentic Engineering Experience: Proven hands-on experience working in agentic engineering workflows, using AI agents as a core part of software delivery rather than as occasional assistants.

Laravel Expertise: Strong hands-on experience building and maintaining production applications in 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 inside 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 help design, improve, and extend the tooling and workflows behind them.

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.