Startups · AI

Staff AI Engineer – Business Systems

Cerebras Systems · Sunnyvale, CA · Remote

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About Cerebras Systems

Cerebras powers the world's fastest AI inference on the biggest wafer chip. Cerebras CS-4 delivers up to 30x faster inference than GPUs.

About the role

The role is accountable for hands-on delivery and architecture within its layer, with shared governance across BIS, Finance, Business Operations, IT and Security and active partnership with other enterprise functions.

What they're looking for

  • Required capabilities are calibrated for a Staff-level hands-on engineer with solution-architecture responsibilities
  • 8+ years in software, platform, integration, solution engineering or enterprise applications, including meaningful hands-on production ownership in complex environments
  • Strong Python and/or TypeScript skills, experience with APIs, MCP or comparable tool protocols, enterprise authentication and distributed-system design
  • Practical experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations and monitoring
  • Practical familiarity with leading LLM platforms and agent frameworks, such as OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel or comparable technologies, including prompt and context engineering
  • Strong solution-architecture judgment across security, reliability, performance, cost, observability and supportability
More about this role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Hands-on AI engineering, solution architecture and compliance-by-design for enterprise Finance, operations and business systems

The role is accountable for hands-on delivery and architecture within its layer, with shared governance across BIS, Finance, Business Operations, IT and Security and active partnership with other enterprise functions.

Design end-to-end agentic solutions and determine when a use case should query a source system directly versus use the unified data model.

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Read the full posting on Cerebras Systems's site ↗

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