AI Engineer (Full-Stack AI Systems)

We’re looking for an AI-native, product-minded AI Engineer who operates comfortably across the full stack and integrates AI directly into production systems.

This is not a traditional full-stack role. We are looking for someone who actively builds AI-powered features, integrates LLMs into live workflows, and uses modern AI coding tools as part of their daily engineering process. You should be capable of owning systems end-to-end, identifying automation opportunities, and shipping scalable product infrastructure without heavy oversight.

AI usage must go beyond personal productivity. You must have hands-on experience integrating AI into production systems, including practical experience using Claude Code, CodeX, or similar AI coding copilots in real development environments.

This role requires full alignment with US working hours.

Why You’ll Want to Join

• You will be paid in USD (bi-monthly: every 15th and 30th)
• Up to 14 days of Paid Time Off annually (starting Day 1)
• Observance of Holidays per company guidelines
• 100% remote setup so you can work wherever you’re most productive
• High-ownership engineering role inside a product-driven organization
• Opportunity to design and ship AI-powered systems from the ground up
• Direct collaboration with product and engineering leadership

What You’ll Work On

AI-Integrated Product Development

• Design and implement AI-powered features integrated into production environments
• Integrate LLMs, AI services, and automation layers into backend and frontend systems
• Use Claude Code, CodeX, or similar AI copilots as part of your engineering workflow
• Build guardrails, monitoring, and fallback mechanisms for AI reliability
• Optimize prompt architecture, model usage, and system performance

Full-Stack System Architecture

• Design and build scalable backend services and APIs
• Develop and maintain frontend features and user-facing tools
• Architect clean service layers connecting AI components with application logic
• Ensure performance, security, and long-term maintainability across the stack

End-to-End Ownership

• Own features from initial architecture through deployment and iteration
• Collaborate with product and design to translate requirements into robust systems
• Identify bottlenecks and propose automation or architectural improvements
• Contribute to long-term infrastructure and scalability planning

Engineering Standards and Scalability

• Write clean, maintainable, well-tested code
• Contribute to CI/CD pipelines and deployment workflows
• Improve observability, monitoring, and system reliability
• Maintain high technical standards while moving quickly

What You Bring

• 4+ years of professional software engineering experience
• Strong full-stack development background
• Demonstrated experience integrating AI into production systems and workflows
• Practical experience using Claude Code, CodeX, or comparable AI coding copilots in real-world projects
• Strong system design fundamentals including APIs, databases, and distributed systems
• Experience working in fast-paced startup environments
• Product-oriented mindset with strong ownership and execution ability
• Comfort working during US business hours

Preferred but not strictly required:

• Experience with TypeScript, Python, or similar backend technologies
• Experience with modern frontend frameworks
• Exposure to cloud infrastructure such as AWS or GCP
• Experience building automation-heavy or AI-driven SaaS products

Nice to Have

• Experience building AI copilots or AI-assisted workflows
• Familiarity with embeddings, vector databases, or retrieval systems
• Experience building internal automation tools
• Exposure to DevOps or infrastructure-as-code practices

How to Apply

Please include:

1. Your updated resume
2. A short 1 to 2 minute Loom video describing a production system where you integrated AI into a full-stack architecture and how you used Claude Code, CodeX, or similar tools in your development process

Only complete applications with a Loom video will be considered.

If you are a full-stack engineer who integrates AI into real systems, uses modern AI coding tools effectively, and thrives in fast-moving product environments, this role offers meaningful technical ownership and the opportunity to build intelligent systems at scale.

Application Process Overview

Our comprehensive selection process ensures we find the right fit for both you and our clients:

1. Initial Application - Submit your application and complete our prequalifying questions
2. Video Introduction - Record an video introduction to showcase your communication skills and work experience
3. Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
4. Recruitment Interview - Initial screening with our talent team
5. Executive Interview - Meet with senior leadership to discuss role alignment
6. Client Interview - Final interview with the client team you'd be supporting
7. Background & Reference Check - Professional reference verification
8. Job Offer - Successful candidates receive a formal offer to join the team

Each stage is designed to evaluate your fit for the role while giving you insights into our company culture and expectations. We'll keep you informed throughout the process and provide feedback at each step.