AI Engineer

Job summary

Responsibilities

We’re looking for an AI Engineer who loves building with new models, experimenting with developer tools, and writing about what they learn. You’ll create prototypes that demonstrate what fast inference makes possible, optimize the harnesses around models, and turn your findings into technical…

• Technical writing: Write blogs, tutorials, walkthroughs, and practical guides grounded in your own experiments.
• Prototypes and demos: Find original ways to showcase Cerebras fast inference. Build sample applications, notebooks, and interactive experiences that make the benefit tangible.
• Harness optimization: Build and improve the code and workflows around models, including prompts, tool use, context management, orchestration, and evaluation.
• Model experimentation: Try new models and investigate their capabilities, limitations, and fit for different tasks.
• Evaluation and reproducibility: Design practical tests, measure results, and validate technical claims. Make your code easy to run and explain the assumptions, tradeoffs, and…

What they're looking for

• 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. You can turn a complex implementation or experimental result into a clear, useful explanation.
• 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.