AI Engineer

Cerebras Systems • Sunnyvale, CA

5d

About The Position

Cerebras Systems is seeking an AI Engineer for its DevRel team. The role focuses on building prototypes that demonstrate the possibilities of fast inference, optimizing the harnesses around models, and producing technical content that helps developers build with AI. It is a hands-on position in which technical writing is a core responsibility. The engineer takes projects from an initial question through implementation and testing to a clear, reproducible explanation.

The role includes experimenting with new models and developer tools, building sample applications and interactive demos, improving prompts and agent workflows, evaluating model behavior, and creating technically accurate launch materials and developer education. The engineer will also engage with developers, troubleshoot integrations, and use recurring feedback to improve examples, documentation, and the product experience.

Cerebras describes itself as an equal opportunity employer committed to an inclusive and diverse work environment. The company highlights opportunities to build a breakthrough AI platform, publish and open-source AI research, work on a fast AI supercomputer, enjoy job stability alongside startup vitality, and work in a non-corporate culture that respects individual beliefs.

Requirements

• A strong portfolio of AI applications, prototypes, technical writing, tutorials, or other substantive developer-facing work.
• Hands-on experience building with model APIs and debugging AI application workflows.
• Excellent technical writing skills and the ability to explain complex implementations or experimental results clearly.
• Experience with agent harnesses or related workflows involving prompting, tool calling, context management, and evaluation.
• An informed perspective on the AI developer ecosystem and curiosity about new models, frameworks, and emerging application patterns.
• Strong technical judgment, including the ability to design fair comparisons, verify results, and distinguish observations from assumptions.
• Original ideas for demos and developer experiences, with an understanding of what makes examples useful and engaging.
• Ability to scope projects, deliver independently, incorporate feedback, and collaborate with technical and creative partners.
• Applicants should provide links to code, prototypes, and technical writing, identify their own contributions, and explain the problem explored and results or lessons learned.

Nice To Haves

• Experience optimizing latency, responsiveness, or reliability in AI applications.
• Contributions to open-source projects, developer tools, or publicly available technical examples.
• Experience teaching developers through workshops, talks, or live demonstrations.

Responsibilities

• Write blogs, tutorials, walkthroughs, and practical guides based on personal experiments, explaining implementation choices and how developers can reproduce results.
• Create prototypes, sample applications, notebooks, and interactive demos that demonstrate the benefits of Cerebras fast inference.
• Build and improve model harnesses and workflows, including prompts, tool use, context management, orchestration, and evaluation; identify bottlenecks and test improvements to speed, reliability, and output quality.
• Experiment with new models, investigate their capabilities and limitations, compare their behavior on realistic workloads, and share useful recommendations with developers.
• Design practical evaluations, measure results, validate technical claims, and make code reproducible while documenting assumptions, tradeoffs, and limitations.
• Partner with Product, Engineering, and New Media on launch examples, workshops, and stories; present work and help developers understand how to apply it.
• Engage with developers, troubleshoot integrations, and use recurring questions and friction to improve examples, documentation, and product experience.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed