AI Platform Engineer

Hybrid in Austin, TX, US • Posted 14 hours ago • Updated 14 hours ago
Full Time
No Travel Required
Hybrid
180000 - 200000/yr
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • DevOps
  • Docker
  • Google Cloud Platform
  • Machine Learning (ML)
  • Machine Learning Operations (ML Ops)
  • Kubernetes
  • Microsoft Azure
  • Orchestration
  • Software Engineering

Summary

Title: AI Platform Engineer
Location: Austin, TX 78758 / Hybrid (3 days onsite)
Employment Type: Full Time Direct Hire No C2C or sponsorship available
Work Authorization: or Permanent Resident

Position Summary

Talent Groups is hiring an AI Platform Engineer to build and scale AI and ML platforms that support modern, production ready systems. This role sits between engineering and DevOps, focused on enabling AI workflows, improving platform standards, and driving consistency across teams.

This is not a model tuning role. It is ideal for someone with strong platform engineering experience and exposure to modern AI technologies who can bridge technical teams and improve how AI systems are built and operated.

What You Will Do

  • Design and scale AI and ML platforms and infrastructure
  • Build and maintain data pipelines and model lifecycle workflows
  • Implement CI and CD practices for AI systems
  • Establish development standards including branching strategies and templates
  • Manage AI platform operations including tooling, access, and token management
  • Design workflows using tools like Temporal.io
  • Partner with engineering, AI, and infrastructure teams to drive alignment and delivery

What We Are Looking For

  • 3+ years in platform engineering, software engineering, or ML infrastructure
  • Experience working across engineering and DevOps environments
  • Familiarity with modern AI workflows and tools
  • Cloud experience with AWS, Azure, or Google Cloud Platform
  • Experience with Docker and Kubernetes
  • Strong communication skills and ability to work across teams

Nice to Have

  • Exposure to MLOps tools such as MLflow, Kubeflow, or Airflow
  • Experience improving engineering standards and documentation
  • Familiarity with workflow orchestration tools like Temporal.io

This role does not provide visa sponsorship now or in the future. Candidates must be authorized to work in the United States.

Talent Groups is an equal opportunity employer.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91099677
  • Position Id: 8924883
  • Posted 14 hours ago
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