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Cast AI is an automation platform that optimizes cloud-native and AI infrastructure at scale through embedded autonomous decision-making in Kubernetes and cloud environments. The company has achieved unicorn status (>$1B valuation as of January 2026) and serves over 2,100 companies including Akamai, BMW, Cisco, FICO, HuggingFace, and others.
You will be the founding customer-facing engineer for Kimchi, Cast AI's flagship product within the Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control, intelligently routing across frontier and open-source models while enabling teams to establish budget caps, enforce model access policies, configure roles, and audit total cost of ownership. Through Kimchi Studio, developers gain desktop access to agentic workflows to accelerate adoption without sacrificing operational governance or spend visibility.
This is a hands-on individual contributor role at the intersection of inference optimization, autonomous coding agents, multi-model routing, and LLM governance. You will architect and execute the growth strategy that scales Kimchi adoption and creates revenue expansion opportunities for existing customers.
Key responsibilities include:
- Lead hands-on demos of flagship inference products (Kimchi Coding, Studio, and Teleport)
- Set up Kimchi Studio workspaces within customer environments, configuring worktrees, integrations (Slack, repos, docs), and skills so agents understand customer conventions
- Design and drive implementation of governance policies: spending limits per team/developer, cost attribution by project, model routing preferences, ensuring hard budget caps work for customer organizations
- Help teams integrate Kimchi's serverless inference API and optimize model selection and routing for specific workloads (coding, reasoning, planning tasks)
- Translate customer feedback into product input, highlighting where agents fail, where Studio UX creates friction, and where governance policies don't match customer needs
Cast AI operates globally across 34 countries with headquarters in Miami. The company offers a remote-first environment, equity options, 10% time for personal projects, learning budget for professional development, team-building budget, equipment budget, and extra days off.
REQUIREMENTS:
- Deep hands-on experience with LLMs: deployed, fine-tuned, evaluated, or debugged failure modes; understanding of why model A outperforms model B for specific tasks
- Experience operating in fast-moving environments prone to change
- Built or optimized inference systems; understand the difference between latency, throughput, and total cost of ownership; able to ballpark costs and performance implications
- Ability to explain complex inference concepts to non-ML engineers and help them understand business implications
- Commercial thinking: understand revenue expansion, identify expansion opportunities within customer organizations, and design strategies to capture them; combine technical excellence with entrepreneurial thinking about growth
