AI Infrastructure Engineer - Systems & Performance

Agency

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Agency in the United States seeks an engineer to collaborate with AI models on infrastructure and platform tasks using JavaScript, TypeScript, and Python. You will verify architectural soundness, assess code quality and deployment risks to ensure robust model outputs.

You will propose improvements to prompt design and evaluation metrics to strengthen model reasoning and help design scalable, reliable software systems at scale.

Qualifications

  • Proficiency in JavaScript, TypeScript and Python.
  • Expertise in systems thinking, software/infrastructure architecture and performance optimization.
  • Experience with cloud design, Infrastructure-as-Code and distributed systems.
  • Strong technical communication to articulate system-level reasoning and tradeoffs.

Responsibilities

  • Converse with AI models on infrastructure and platform engineering tasks using JavaScript, TypeScript, and Python.
  • Verify architectural soundness and logical correctness of model outputs.
  • Assess code quality, testing strategies, and performance bottlenecks.
  • Analyze deployment risks and capture reproducible failure cases.
  • Suggest improvements to prompt design and evaluation metrics to strengthen model reasoning.

Skills

JavaScript
TypeScript
Python
Systems thinking
Software architecture
Performance optimization
Cloud design
Infrastructure as Code
Distributed systems
Technical communication

Education

Bachelor’s/Master’s/PhD in Computer Science or related field

Tools

Terraform

Job description

Agency in the United States seeks an engineer to collaborate with AI models on infrastructure and platform tasks using JavaScript, TypeScript, and Python. You will verify architectural soundness, assess code quality and deployment risks to ensure robust model outputs.

You will propose improvements to prompt design and evaluation metrics to strengthen model reasoning and help design scalable, reliable software systems at scale.

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