Senior AI Platform Engineer (AI)

TL;DR

Senior AI Platform Engineer (AI/MLOps): Building and scaling the cloud-native foundations and MLOps infrastructure to enable AI deployment at scale with an accent on developer experience and self-service excellence. Focus on evolving Kubeflow, Feast, and Spark-on-Kubernetes ecosystems to transition from centralized bottlenecks to scalable production-grade AI solutions.

Location: Remote (Must be based in Brazil)

Company

hirify.global is a global wellness platform connecting employees worldwide to fitness, mindfulness, therapy, nutrition, and sleep services.

What you will do

• Evolve and maintain Kubeflow, Feast, and Spark-on-Kubernetes infrastructure to handle increasing AI complexity.
• Design internal tools, APIs, and abstractions that empower distributed teams to own their entire ML lifecycle.
• Implement software engineering best practices including CI/CD, versioning, and testing within ML-specific workflows.
• Define and drive MLOps and LLMOps lifecycle requirements to automate the journey from notebooks to production.
• Integrate ML artifacts into global data catalog, privacy, and governance frameworks.

Requirements

• Deep experience with DevOps applied to ML/AI, including CI/CD, Infrastructure as Code (Terraform/Crossplane), and Observability.
• Hands-on mastery of Kubeflow, Spark engine, Kubernetes, and the AWS ecosystem.
• Strong Python skills focused on building reusable libraries, APIs, and tooling abstractions.
• Ability to partner with Data Science teams to translate complex use cases into scalable solutions.
• Must be based in Brazil.

Culture & Benefits

• Free Gold+ hirify.global membership for employees and up to three family members.
• Comprehensive emotional wellbeing program (Wellz) featuring 52 personalized therapy sessions per year.
• Full health, dental, and life insurance.
• Flexible work options with home office reimbursement for setup.
• Generous paid time off, including parental leave and tenure-based extra vacation days.