Platform Engineer (Remote) - AI-Powered 0-to-1 Systems

Zekai; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Zekai is seeking a Software Engineer for Platform Engineering to work remotely on our AI-driven platforms and workflows. You will own concepts through design, implementation, launch, and iteration, helping shape technical architecture in a fast-growing startup environment.

Ideal candidates have 4+ years of full-stack experience, strong system design skills, and a product-focused mindset. You will engage with product, design, and operations to deliver meaningful outcomes while leveraging AI tools

Qualifications

• 4+ years of professional software engineering experience in full-stack and backend systems.
• Experience designing, building, and evolving production systems.
• Experience taking ideas from concept to launch in fast-moving startups.

Responsibilities

• Own end-to-end engineering lifecycle from discovery to deployment and iteration.
• Design scalable, reliable systems with thoughtful architecture and API design.
• Collaborate with product, design, and operations to define requirements.
• Build and evolve internal platforms and AI-powered workflows.
• Leverage AI coding tools to accelerate development and problem-solving.
• Make pragmatic trade-offs balancing speed, simplicity, and scalability.
• Take ownership of technical challenges and software quality.

Skills

Full-stack development

Backend systems

System design

0-to-1 product development

Startup experience

AI-native mindset

APIs & data modeling

Ownership & shipping

Tools

Cursor

Claude Code

Job description

Zekai is seeking a Software Engineer for Platform Engineering to work remotely on our AI-driven platforms and workflows. You will own concepts through design, implementation, launch, and iteration, helping shape technical architecture in a fast-growing startup environment.

Ideal candidates have 4+ years of full-stack experience, strong system design skills, and a product-focused mindset. You will engage with product, design, and operations to deliver meaningful outcomes while leveraging AI tools