AI Platform Engineer - LATAM

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.

We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!

Job Title : AI Platform Specialist

Location : LATAM (Remote) Mexico, Costa Rica, Argentina, Brazil

Duration : 6+ months

Rate : $35 -$40 / hr on W2

Job Description :

We are looking for AI platform specialists to support and enhance high-performance AI services and platforms. These are highly technical, hands-on roles that will be focused on customer, application, and platform support for AI-focused workloads.

As an AI Platform Specialist, these roles will provide application, platform, model, and GPU support. The team will deliver Tier 1 and Tier 2 support to developers and engineers while collaborating closely with Tier 3 and 4 platform teams and vendors for issue resolution. The roles require knowledge of Kubernetes, cloud-native technologies, and large language models (LLMs), GPUs, and other AI supporting services. Each specialist should have a focus on customer service along with goals of reliability, scalability, and performance.

Key Responsibilities

• Platform Support & Incident Response
• Provide Tier 1 & Tier 2 support for AI-driven platforms and workloads.
• Troubleshoot and resolve issues related to AI Gateway, model hosting, Kubernetes deployments, GPU utilization, and service performance.
• Collaborate with Tier 3+ teams, including network, storage, and Kubernetes engineers as well as vendors, to escalate and resolve complex issues.
• Kubernetes & Cloud-Native Operations
• Full adoption, creation, and integration into automated services using Jenkins, Helm, Ansible, Terraform, etc.
• Deploy, manage, and support containerized AI workloads on on-prem Google Anthos-powered Kubernetes clusters, AWS, and GCP.
• Ensure adherence to pod security policies, automated rollouts / rollbacks, and best practices for scalable and secure Kubernetes environments.
• GPU Infrastructure & AI Services Management
• Optimize and support GPU-enabled workloads including CUDA and other AI acceleration frameworks.
• Assist in the installation, configuration, and support of AI coding assistants (e.g., Codeium).
• Observability & Documentation
• Maintain detailed operational documentation, runbooks, and troubleshooting guides.
• Utilize monitoring / logging tools like New Relic, Prometheus, Grafana, and other observability frameworks.
• Process Improvement & Collaboration
• Work cross-functionally with developers, IT teams, and vendors to ensure seamless deployment and support of AI services.
• Contribute to CI / CD pipelines, automation, service, and security best practices.
• Track and communicate work through task management platforms (ServiceNow and Jira).

Required Skills & Experience

Preferred Qualifications

About the Team & Reporting Structure

These positions will report to the Senior AI Architect and work as peers within a specialized AI support team. Collaboration with internal VM and container support teams as well as NVIDIA, TrueFoundry, Windsurf, Anthropic, and other vendor specialists will be essential for supporting customers, troubleshooting, and optimizing AI workloads.

MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.