AI Platform Engineer — Scale, Reliability & Production

Doist

San Francisco (CA)

Hybrid

USD 180,000 - 201,000

Full time

14 days+

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Job summary

Notion is seeking an AI Platform engineer to scale AI primitives and platforms that power Notion''s AI features. You''ll partner with product teams to ship faster while maintaining safety and reliability.

The role spans backend, infrastructure, and product code with a strong emphasis on ownership and pragmatic problem solving. The successful candidate will operate critical AI systems in production, optimize latency and cost, and contribute to versioning and controlled rollouts for new models and

Qualifications

  • Experience on LLM, ML platform, data, or infrastructure teams owning shared systems.
  • Willing to work across backend, infrastructure, libraries, and product code.
  • Strong ownership and ability to drive execution across ambiguous spaces.
  • Ability to decompose complex behavior and propose pragmatic solutions.
  • Pragmatic with business focus, balancing quality and speed.

Responsibilities

  • Own prototyping, development, and scaling of AI platform primitives.
  • Work with product teams to provide guardrails for faster shipping.
  • Collaborate across infrastructure, libraries, APIs, and product integration points.
  • Operate critical AI systems in production with observability and diagnostics.
  • Help Notion adopt new models and providers with clear quality gates.

Skills

AI systems
System scalability
Observability
Ownership
Cross-functional

Tools

TypeScript
Node.js
Spark
Ray
MLOps

Job description

Notion is seeking an AI Platform engineer to scale AI primitives and platforms that power Notion''s AI features. You''ll partner with product teams to ship faster while maintaining safety and reliability.

The role spans backend, infrastructure, and product code with a strong emphasis on ownership and pragmatic problem solving. The successful candidate will operate critical AI systems in production, optimize latency and cost, and contribute to versioning and controlled rollouts for new models and

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