AI and Machine Learning Engineer

About Us:

We’re a Startup still in stealth — building the infrastructure enterprises use to run AI systems in production.

Today, deploying AI inside large organizations is slow, brittle, and unreliable. We’re building the platform that makes it work: secure, scalable, and built for real-world complexity.

We focus on a handful of industries where we have deep expertise, allowing us to design systems that fit real workflows — not theoretical ones.

We’re a small, technical team moving quickly. If you want to work on systems that matter — and help shape how enterprises adopt AI at scale — we’d love to talk.

What We're Looking For:

We’re hiring a Staff Engineer to help adapt and deploy Stoke’s platform for enterprise customers across the verticals we know best. You’ll work directly with customers to build integrations, scale deployments, and shape Stoke’s technical roadmap based on real-world production needs.

You’ll operate across the stack — frontend, backend, infrastructure, and AI systems — and collaborate closely with product and customer teams. This is a high-impact, high-ownership role where you’ll help define how enterprises operationalize AI at scale.

Key Responsibilities:

• Build customer-specific integrations and workflows to deploy Stoke inside complex enterprise environments.
• Develop scalable, secure systems that meet real-world production standards.
• Build proof-of-concepts where necessary to validate new enterprise use cases.
• Work across the full stack to deliver end-to-end solutions (React, Node.js, Python, cloud infrastructure).
• Partner with PMs, designers, and customer teams to translate requirements into durable technical solutions.

Qualifications:

• Senior / Staff-level engineer (4+ years of experience) with broad technical skills across frontend, backend, and infrastructure.
• Experience building and deploying secure, scalable production systems.
• Comfortable working directly with enterprise customers and complex technical environments.
• Strong communicator who can translate domain-specific needs into practical technical architecture.
• Based in or willing to relocate to Bellevue, WA.

Nice to Have:

• Experience with AI/ML systems, LLMs, or productionizing AI infrastructure.
• Domain expertise in one of Stoke’s target industries (details shared during the interview process).
• Experience integrating with enterprise systems (SSO, data governance, cloud platforms).

Why Join Us?:

• Build critical infrastructure that will power real-world AI deployments at scale.
• Work on high-impact projects from first principles, not feature maintenance.
• Join a small, fast-moving team where your work shapes the future of the company.
• Competitive salary, meaningful early-stage equity, and direct influence on technical direction.
• Solve hard problems that matter — and see your work deployed inside some of the world’s most important organizations.