AI Engineer Developer Relations
Posted Updated
Summary
Developer Relations AI Engineer at Cerebras: builds prototypes, demos, sample apps, and notebooks for AI developers, evaluates and optimizes LLM workflows, and writes tutorials/guides and presents educational content. Core work spans model APIs, agent harnesses, prompting, tool calling, and evaluation.
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.
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.
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