AI Infrastructure Engineer

Mango LLC
Fort Mill, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Fort Mill, United States of America

Tech stack

Clean Code Principles
API
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Cursor (Graphical User Interface Elements)
DevOps
Github
Python
Software Engineering
Software Vulnerability Management
AI Infrastructure
Scripting (Bash/Python/Go/Ruby)
GitHub Copilot
Large Language Models
Prompt Engineering
Infrastructure as Code (IaC)
Automation Anywhere

Job description

Job Summary: We are seeking a proactive and innovative AI Infrastructure Engineer to work directly with our LPL infrastructure teams. The ideal candidate will identify opportunities for automation, build AI-powered solutions, and enhance engineering productivity. This role requires a strong foundation in Python development, infrastructure engineering, and a deep understanding of GitHub tools., * Embed within infrastructure teams to understand workflows and identify automation opportunities.

  • Independently identify and implement automation solutions.
  • Build AI-assisted solutions utilizing Cursor and GitHub Copilot.
  • Develop infrastructure automation processes to streamline operations.
  • Create AI workflows and AI agents to enhance productivity.
  • Modernize existing infrastructure platforms for improved performance.
  • Enhance cloud migration efficiency through innovative solutions.
  • Automate vulnerability remediation processes.
  • Mentor existing engineering teams on best practices and AI adoption.
  • Promote AI adoption across the organization to drive efficiency.
  • Deliver measurable productivity improvements through automation.
  • Rapidly demonstrate proof-of-concepts to stakeholders.
  • Collaborate closely with business and infrastructure leaders to align on goals.

Requirements

  • Strong proficiency in Python development.
  • Experience in infrastructure engineering.
  • Familiarity with cloud platforms, preferably AWS.
  • Expertise in Infrastructure as Code (IaC).
  • Proficient in GitHub Copilot and Cursor AI.
  • Knowledge of prompt engineering and LLM-based software development.
  • Experience with AI-assisted coding practices.
  • Strong understanding of DevOps principles and automation.
  • Proficient in APIs and scripting.
  • Excellent problem-solving skills and a self-starter mindset.
  • Strong communication skills to convey complex ideas effectively., * 3-5 years of relevant experience in AI infrastructure engineering.
  • Proven track record of delivering automation solutions that reduce manual effort.
  • Demonstrated ability to influence and mentor engineering teams.
  • Strong collaborative skills and ability to work in ambiguous environments.
  • Outcome-focused with a commitment to driving measurable improvements.

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