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AI Engineer, Developer Relations

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AI Engineer, Developer Relations in USA

  • Cerebras Systems
  • Full time
  • Email
  • Sunnyvale, CA

Responsibilities

  • Write technical blogs, tutorials, walkthroughs, and practical implementation guides based on personal experiments.
  • Build sample applications, notebooks, interactive experiences, and demos that showcase Cerebras fast inference.
  • Develop and optimize model harnesses and workflows involving prompts, tool use, context management, orchestration, and evaluation.
  • Experiment with models, compare their capabilities and limitations, and create recommendations for developers.
  • Design reproducible tests, measure results, and document assumptions, tradeoffs, and limitations.
  • Partner with Product, Engineering, and New Media on technically accurate launches, workshops, stories, and demonstrations.
  • Engage with developers, troubleshoot integrations, and turn recurring questions into improvements to examples, documentation, and product experience.

Requirements

  • Provide a strong portfolio of AI applications, prototypes, technical writing, tutorials, or other substantive developer-facing work.
  • Have hands-on experience building with model APIs and debugging AI application workflows.
  • Demonstrate excellent technical writing and the ability to explain complex implementations and experimental results clearly.
  • Have experience with agent harnesses or related workflows involving prompting, tool calling, context management, and evaluation.
  • Bring informed knowledge of the AI developer ecosystem and curiosity about new models, frameworks, and application patterns.
  • Demonstrate strong technical judgment in designing fair comparisons, verifying results, and separating observations from assumptions.
  • Develop original ideas for useful and engaging demos and developer experiences.
  • Be able to scope projects, ship independently, incorporate feedback, and collaborate with technical and creative partners.
  • Preferred experience includes optimizing latency, responsiveness, or reliability in AI applications; contributing to open-source projects, developer tools, or public technical examples; and teaching developers through workshops, talks, or live demonstrations.

Benefits

  • Opportunity to work on a breakthrough AI platform beyond GPU constraints.
  • Opportunity to publish and open source AI research and work on an AI supercomputer.
  • Job stability with startup vitality and a simple, non-corporate work culture.
  • Inclusive environment focused on learning, growth, and support.

Cerebras Systems

Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. P...

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