AI Solutions Architect

• 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
• 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

Benefits

• Remote work: Enjoy the flexibility of remote-first work. While we have offices, our team is globally distributed, and remote work is fully supported
• Company stock options: Become a shareholder from day one. We offer stock options to all team members as part of our commitment to shared success.
• Annual Hackathon: Innovation is in our DNA. Join our global hackathon to collaborate, build, and explore new ideas beyond your usual role.
• Health insurance: Your well-being matters. We offer comprehensive health coverage and wellness support.
• Flexible working hours: Design a work schedule that fits your lifestyle. We trust you to manage your time effectively.
• Home office allowance: We help you create a comfortable, productive workspace with a dedicated home office stipend.
• Bonus days off: Recharge with extra paid time off beyond standard holidays – because work-life balance matters.
• Learning & development budget: Invest in yourself. We provide a budget for courses, conferences, and other learning opportunities.
• Company events & team building: From local meetups to virtual socials and team retreats, we make time to connect and celebrate.

• 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 know what it’s like to operate in a fast-moving environment that’s prone to change
• 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 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

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