AI Engineer

The role

You will build prototypes to demonstrate fast inference and optimize model harnesses. You will also write technical content like blogs and tutorials to help developers.

What you will do

• Write blogs, tutorials, walkthroughs, and practical guides.
• Build sample applications, notebooks, and interactive experiences.
• Build and improve code and workflows around models.
• Try new models and investigate their capabilities and limitations.
• Design practical tests, measure results, and validate technical claims.
• Create technically accurate launch examples, workshops, and stories.
• Engage with developers and troubleshoot integrations.

Required qualifications

• 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.
• Experience working with agent harnesses or related workflows involving prompting, tool calling, context management, and evaluation.
• An informed view of the AI developer ecosystem and curiosity about new models, frameworks, and emerging application patterns.
• Strong technical judgment.
• Original ideas for demos and developer experiences.
• The ability to scope projects, ship independently, incorporate feedback, and collaborate with technical and creative partners.
• Include links to code, prototypes, and technical writing you’ve created.

Nice to have

• 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.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.