AI Engineer Developer Relations
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build prototypes, demos, sample applications, notebooks, and interactive experiences for AI developers. You will optimize model harnesses, evaluate models and workflows, write tutorials and guides, present educational material, troubleshoot integrations, and turn developer feedback into better examples and documentation.
Requirements
- Portfolio of AI applications, prototypes, technical writing, tutorials, or developer-facing work
- Model API development
- AI application workflow debugging
- Technical writing
- Agent harnesses
- Prompting
- Tool calling
- Context management
- Evaluation
- AI developer ecosystem knowledge
- Project scoping
- Collaboration
Responsibilities
- Write blogs, tutorials, walkthroughs, and practical guides based on experiments.
- Build sample applications, notebooks, prototypes, demos, and interactive experiences.
- Build and improve model prompts, tool use, context management, orchestration, and evaluation workflows.
- Experiment with models and compare their behavior on realistic workloads.
- Design tests, measure results, and validate technical claims.
- Create launch examples, workshops, and technical stories.
- Present work and educate developers.
- Engage with developers, troubleshoot integrations, and improve examples, documentation, and product experience.
