AI Solutions Architect

Creandum; Amsterdam; Remote; EUR 90,000 - 150,000; Full time

Benefits offered by this job

Equity options

Learning budget

Equipment budget

Flexible work policy

Job summary

Cast AI is seeking a founding customer‑facing engineer for Kimchi in our Customer Success team. You will drive multi‑model LLM workflows with governance, cost controls, and desktop access via Kimchi Studio to accelerate adoption while preserving spend visibility.

You’ll operate at the intersection of inference optimization, autonomous coding agents, and governance, shaping growth strategies and expanding revenue with current customers.

Qualifications

• Hands-on experience with LLMs: deployment, fine-tuning, evaluation or debugging.
• Ability to operate in a fast-moving environment with change.
• Experience optimizing inference systems and understanding latency/cost.
• Explain complex concepts to non-ML engineers and relate to business value.
• Commercial thinking with growth opportunities and customer expansion.

Responsibilities

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

Skills

LLM deployment

Inference optimization

Cost governance

Customer-facing communication

Sales and growth mindset

Education

Bachelor/Advanced degree

Tools

Kimchi Studio

Slack integrations

Model routing tech

Job description

Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.

The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don't. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.

Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.

Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.

Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.

Join us as we build the future of autonomous infrastructure.

About this role:

You’ll be the founding customer-facing engineer for our flagship Kimchi product within our Customer Success organization. Kimchi executes multi-model LLM workflows and autonomous agents with embedded governance and cost control. It intelligently routes across frontier and open-source models while enabling teams to establish strict budget caps, enforce model access policies, configure roles, and audit TCO via deep analytical tracking. Through Kimchi Studio, developers gain desktop access to agentic workflows, helping organizations accelerate adoption without sacrificing operational governance or spend visibility.

This is a hands‑on, individual contributor role where you will live at the intersection of inference optimization, autonomous coding agents, multi-model routing and LLM governance. You will have the unique opportunity to architect and execute the growth strategy that scales Kimchi adoption and creates new revenue expansion opportunities for our existing customers.

Requirements:

• Deep hands‑on experience with LLMs: you’ve deployed them, fine‑tuned them, evaluated them, or debugged their failure modes. You care about why model A outperforms model B for a specific task.
• You know what it’s like to operate in a fast‑moving environment that’s prone to change.
• You’ve built or optimized inference systems out of curiosity. You know the difference between latency, throughput, and total cost of ownership. You ballpark costs and performance implications in your head.
• You can explain complex inference concepts to non‑ML engineers and help them see why it matters to their business.
• You can think commercially. You understand revenue expansion, can identify expansion opportunities within customer organizations, and can design strategies to capture them. You’re not just a technical person, you’re someone who combines technical excellence with entrepreneurial thinking about growth.

Responsibilities

• Lead hands‑on demos of our flagship inference products - Kimchi Coding, Studio and Teleport.
• Set up Kimchi Studio workspaces within customer environments. Help teams configure worktrees, integrations (Slack, repos, docs), and skills so agents understand their conventions.
• Design and drive implementation of governance policies for customers: spending limits per team/developer, cost attribution by project, model routing preferences. Make sure the hard budget caps actually work for their org.
• Help teams integrate Kimchi's serverless inference API. Optimize model selection and routing for their specific workloads (coding, reasoning, planning tasks).
• Translate customer feedback into product input. Highlight where the agent fails, where Studio UX gets in the way, where governance policy doesn't match their needs.

What’s in it for you?

• Enjoy a flexible, remote-first global environment.
• Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
• Equity options.
• Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
• Spend 10% of your work time on personal projects or self‑improvement.
• Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills.
• Team‑building budget and company events to connect with your colleagues.
• Equipment budget to ensure you have everything you need.
• Extra days off to help maintain a healthy work‑life balance.

Hiring process

• Screening call with Recruiter
• Hiring Manager interview
• 1-2 additional interviews based on the role
• Culture Check interview with an executive

*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third‑party provider, Checkr.
*Please note that Cast AI does not provide any form of visa sponsorship/work permit.
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