Staff DevRel Engineer - AI Inference

Bachelor’s or Master's degree in computer science or related field, or equivalent practical experience.

4+ years professional software engineering experience (or equivalent open-source track record).

Solid understanding of GenAI applications and design patterns such as RAG.

Proficiency in Python and/or TypeScript/JavaScript

Hands-on with at least one modern LLM framework (LangChain, LlamaIndex, CrewAI, AutoGen, etc.).

Multiple non-trivial open-source contributions, preferably to GenAI projects

Design, develop, and maintain open-source libraries, SDKs, and sample repos that make Cerebras the easiest-to-adopt inference platform.

Create production-quality demo applications that highlight low latency, high gen speed, and cost advantages.

Build and own CI/CD pipelines, tests, and release automation for all public repos.

Collaborate with partner engineering teams to embed Cerebras inference into their products and publish joint reference architectures.

Collect developer feedback, identify usability gaps, and influence the Cerebras API roadmap.

Contribute to engineering blogs, tutorials, and conference talks to grow community awareness and adoption.

The Inference Ecosystem Engineering team’s mission is to show—not tell—the power of the Cerebras Inference API. We build open-source integrations, reference architectures, and polished demo apps that developers can clone, run, and extend in minutes. From LangChain agents to partner plug-ins and end-to-end “weekend projects,” our code is often the first (and most lasting) impression customers have of Cerebras.