Senior Automation & AI Platform Engineer

GBS Group; United States; On-site; Full time

Benefits offered by this job

Competitive compensation

Flexible Time Off

High autonomy environment

Job summary

A leading software firm is seeking an Agentic Engineering Developer (AI Coder) to design, build, and maintain software solutions. The ideal candidate should have over 5 years of experience in production-ready applications and a strong background in AI-native engineering, using tools like Laravel and PHP. This full-time, remote position offers competitive compensation and the opportunity to work in a high-autonomy environment focused on innovation and ownership.

Qualifications

• 5+ years of experience building and maintaining applications.
• Experience with AI-assisted development.
• Strong knowledge of Laravel and PHP.

Responsibilities

• Design software development workflows using AI agents.
• Maintain internal tools and automations.
• Manage branches and repository hygiene.

Skills

Production-ready applications

AI-native engineering

Laravel

PHP

Git

Terminal-based environments

Docker

CI/CD pipelines

Tools

Composer

PHPUnit

Laravel Pint

PHPStan

MCP servers

Job description

Location: Remote - Anywhere in LATAM
Job Type: Full-Time - Independent Contractor
Compensation: USD
You must have an advanced level of English.

About 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.

About the Role

We are looking for a 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. You should be deeply comfortable 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.

Key Responsibilities

• 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.
• Help build and improve the internal tools, automation layers, interfaces, and workflows that enable AI coding agents to operate effectively in our environment.
• Build, test, deploy, and maintain internal tools, integrations, automations, and product features across back-end, front-end, and infrastructure layers as needed.
• Manage branches, pull requests, merges, reviews, and repository hygiene with strong discipline and ownership.
• Work efficiently in modern terminal environments using CLI-based workflows, remote development setups, AI-native developer tools, and related systems.
• Configure and manage SSH keys, access credentials, environment variables, remote systems, and development security best practices.
• Work with MCP servers and related systems to connect AI tools to development context, internal systems, and operational workflows.
• Ensure agent-assisted and human-authored code meets high standards of correctness, readability, maintainability, and test coverage.
• Troubleshoot issues across applications, APIs, databases, infrastructure, environments, and tooling layers.
• Identify repetitive engineering and operational tasks, then design automations and developer tooling to reduce manual work and improve speed.
• Work closely with operations, product, and leadership to translate business needs into reliable technical systems.
• 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 building and maintaining 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.
• 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.