[ engineering ]

Ai Engineer — Llm Infra

Yutori
Location
Not specified
Work mode
On-site
Type
full time
Listed

Applications go directly to Yutori. Ramai takes no fee for placement and no money for ranking.

[ About this role ]

AI Engineer focused on LLM Infrastructure at Yutori. This role involves scaling infrastructure for post-training of multimodal LLMs and agentic inference, as well as building the foundations for a generalist web-agent.

Skills and focus areas

  • ml infrastructure
  • gpu clusters
  • networking
  • llm optimization
  • data parallelism
  • tensor parallelism
  • pipeline parallelism
  • context parallelism
  • expert parallelism
  • mfu optimization
  • throughput optimization
  • latency optimization

Summary written by Ramai from the original posting. Full details and requirements are on Yutori’s careers page.

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