AI Engineer

  • All available
  • All levels
  • 202 postings
  • 25.2% remote
  • About 3+ years exp.

Role snapshot

A quick overview of what this role tends to mean, drawn from the wording of the postings themselves.

What this role is about

AI Engineer roles center on shipping LLM features into production products. Python and machine learning remain core, with RAG and APIs common. Cloud deployment spans AWS, Azure, and GCP depending on stack. Testing and evaluation matter because reliability and measurable impact are expected.

  • Machine learning
  • Python
  • LLM
  • RAG
  • AWS

Key themes

  • Python and machine learning remain core, with RAG and APIs common.

  • Cloud deployment spans AWS, Azure, and GCP depending on stack.

Key responsibilities

The work that comes up most often

Based on 202 postings

Most common: Build production AI features, Develop applied ML solutions, and Implement RAG systems.

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