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Remote AI Product Engineer jobs

11 open positions in the United States, newest first.

AI product engineers build user-facing features on top of large language models and other foundation models. They are software engineers first: the work is designing prompts and retrieval pipelines, calling model APIs, building the interface around them and measuring whether the output is good enough to ship. Unlike machine learning researchers they rarely train models, and unlike pure back-end engineers they care about the user's experience of the result.

About the AI Product Engineer role

What the work looks like

  • Build product features that call language model APIs and present the results in the interface.
  • Design prompts, tool definitions and retrieval pipelines that give the model the right context.
  • Create evaluation sets and automated checks that measure output quality before release.
  • Manage latency and inference cost through caching, streaming and model selection.
  • Watch how users interact with AI features and adjust the design based on real failures.

What employers ask for

  • TypeScript and Python
  • Language model APIs and agent frameworks
  • Retrieval-augmented generation with vector databases
  • Evaluation design for model output
  • Full-stack web development
  • Product sense and user experience judgment

Doing this job remotely

The models are reached through APIs and the product is web software, so the job can be done from anywhere with a laptop. The field changes quickly, and remote engineers have to keep up through written discussion rather than office conversation. Some employers handling sensitive customer data restrict where engineers may work or which devices they may use.

Where it comes from and where it leads

Most AI product engineers were full-stack or product engineers who began building with language models. They move on to senior and staff engineer roles, technical lead for AI features or founding positions at startups.