Remote AI Platform Engineer: Scale AI Infrastructure & APIs

fullthrottle.ai

Poland

Remote

PLN 212,314 - 297,239

Full time

14 days+

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Job summary

fullthrottle.ai is looking for an experienced AI Platform Engineer to ensure the reliable deployment of AI systems across its platforms. The role involves building production infrastructure and developing APIs while optimizing costs and performance.

A minimum of 2 years of experience in hands-on AI engineering, along with strong Python and AWS skills are required. You'll thrive in a fast-paced, fully remote environment that values innovation and collaboration.

Qualifications

  • Minimum 2+ years of hands-on AI engineering experience.
  • Expert-level knowledge of Python and AWS.
  • Experience with AI/ML systems and Amazon Bedrock.
  • Strong experience with Terraform for AWS management.
  • Proven ability to operate large-scale SaaS architectures.
  • Deep understanding of system monitoring and optimization.
  • Bachelor’s degree or relevant certifications.

Responsibilities

  • Build and manage production-grade APIs and microservices.
  • Develop, tune, and deploy AI agents using Amazon Bedrock.
  • Define and manage Terraform modules for AWS services.
  • Monitor system performance and implement observability practices.
  • Build and maintain CI/CD pipelines for automated testing.
  • Optimize infrastructure for cost, latency, and reliability.
  • Ensure systems meet compliance standards and security controls.

Skills

Python
AWS (Lambda, API Gateway, CloudWatch)
AI/ML Systems
Terraform
Production SaaS Architectures

Education

Bachelor’s degree in Computer Science, Data Engineering, or related field

Tools

Amazon Bedrock
Docker
New Relic
OpenTelemetry

Job description

fullthrottle.ai is looking for an experienced AI Platform Engineer to ensure the reliable deployment of AI systems across its platforms. The role involves building production infrastructure and developing APIs while optimizing costs and performance.

A minimum of 2 years of experience in hands-on AI engineering, along with strong Python and AWS skills are required. You'll thrive in a fast-paced, fully remote environment that values innovation and collaboration.

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