AI Platform Engineer (AWS)

Location: Budapest, Hungary; hybrid with onsite work required on Tuesday and Wednesday, and Thursday strongly encouraged

Salary: HUF 1.5M–HUF 2.2M per month

Company

hirify.global develops intuitive education products and learning management capabilities that help educators and students learn, connect, and grow.

What you will do

• Build and operate CI/CD deployment pipelines for AI services, including infrastructure-as-code, environment promotion, and rollback.
• Deploy and operate model-serving, batch-scoring, and orchestration pipelines across development, staging, and production.
• Collaborate with data scientists and applied AI engineers to take prototypes into production and design new services.
• Own production reliability through monitoring, alerting, debugging, performance optimization, and cost management.
• Create reusable infrastructure templates and reference patterns that accelerate delivery of additional AI service variants.

Requirements

• Six or more years of experience in infrastructure, DevOps, platform, or ML engineering, with ownership of production systems.
• Deep hands-on experience with AWS compute, networking, storage, deployment, and monitoring services.
• Infrastructure-as-code experience with Terraform, CDK, or CloudFormation.
• Production experience with Docker and modern deployment patterns; Kubernetes or ECS/EKS experience is beneficial.
• Experience with orchestration and workflow tools such as Airflow, Dagster, Argo, or Step Functions.
• Ability to work through ambiguity and collaborate directly with data scientists and researchers.

Nice to have

• Experience with ML platform components and large-scale data pipeline orchestration.
• Experience running LLM-based or retrieval-based systems in production.
• Experience operating specialized data stores, including graph databases.
• Experience building internal tooling, templates, or reference implementations adopted by other engineers.

Culture & Benefits

• Full-time employees participate in an ownership program.
• Flexible collaboration spaces vary by role, team, and location.
• Generous time off, local holidays, and an annual late-December recharge period based on departmental needs.
• Wellness programs, mental health support, learning resources, professional development tools, and tuition reimbursement.
• Mentorship, hack weeks, internal conferences, and an inclusive environment focused on collaboration and experimentation.

Hiring process

• All employees must pass a background check.
• Identity verification may include legal name, current physical location, contact number, and residential address in accordance with local privacy laws.