Remote Lead AI Solutions Architect: Autonomous Inference & LLMs

Cast AI

United States

Remote

USD 140,000 - 210,000

Full time

4 days ago
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Benefits offered by this job

Equity options
Remote-first environment
Learning budget
Team events

Job summary

Cast AI is seeking a founding customer-facing engineer for Kimchi, our flagship product in the Customer Success unit. You will demonstrate, configure, and govern multi-model inference workflows, ensuring budget caps, access policies, and audit trails across customer environments.

You’ll drive adoption, design governance policies, and identify opportunities for revenue expansion while working in a remote-first, globally distributed team.

Qualifications

  • Deep hands-on experience with LLMs including deployment, fine-tuning, evaluation or debugging of failures.
  • Experience operating in fast-moving environments prone to change.
  • Ability to think commercially and identify expansion opportunities.

Responsibilities

  • Lead hands-on demos of Kimchi products: Coding, Studio, and Teleport.
  • Set up Kimchi Studio workspaces in customer environments and configure integrations.
  • Design and drive governance policies for customers, including spending limits and cost attribution.
  • Integrate Kimchi’s serverless inference API and optimize routing for workloads.
  • Translate customer feedback into product input and identify gaps in UX or governance.

Skills

LLMs expertise
Inference systems
Commercial thinking
Explain complex concepts
Fast-paced environment

Tools

Kimchi Studio
Serverless Inference API
Slack
Git integration

Job description

Cast AI is seeking a founding customer-facing engineer for Kimchi, our flagship product in the Customer Success unit. You will demonstrate, configure, and govern multi-model inference workflows, ensuring budget caps, access policies, and audit trails across customer environments.

You’ll drive adoption, design governance policies, and identify opportunities for revenue expansion while working in a remote-first, globally distributed team.

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