We're looking for a Full-Stack AI Engineer who builds production AI systems using Claude Code as a primary development tool. This role is for someone who combines strong full-stack engineering fundamentals with hands-on experience shipping AI-powered products, automations, and intelligent workflows into real environments.
Claude Code is not optional here. You use it daily, you know how to get the most out of it, and it makes you meaningfully faster and better than engineers who do not. On top of that, you can design and build across the full stack, from backend services and APIs to frontend interfaces and AI integration layers, and you take ownership of systems end to end without needing close direction.
If you build full-stack AI systems, ship automations that actually run in production, and use Claude Code as a core part of how you engineer, this role is built for you.
Why You'll Want to Join
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You will be paid in USD (bi-monthly: every 15th and 30th)
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Paid Time Off in accordance with company policy
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Observance of Holidays per company guidelines
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100% remote setup so you can work wherever you're most productive
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High-ownership engineering role with direct impact on product and AI infrastructure
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Opportunity to design and ship AI-powered systems from the ground up
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Direct collaboration with product and engineering leadership
What You'll Work On
Claude Code and AI-Assisted Development
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Use Claude Code as your primary development tool for writing, refactoring, debugging, and shipping production code
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Leverage Claude Code to accelerate full-stack development without sacrificing quality or maintainability
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Build editor utilities, automation scripts, and internal tooling using Claude Code workflows
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Continuously push the limits of what Claude Code enables across the stack
Full-Stack AI System Development
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Design and build full-stack AI systems including automations, intelligent workflows, AI agents, and LLM-integrated products
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Integrate AI services, LLMs, and automation layers into both backend and frontend systems
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Build guardrails, monitoring, and fallback mechanisms that keep AI systems reliable in production
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Optimize prompt architecture, model usage, and system performance across live environments
Backend and API Architecture
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Design and build scalable backend services, APIs, and data models that power AI features
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Architect clean service layers connecting AI components with application logic
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Ensure performance, security, and long-term maintainability across the full stack
Frontend and Product Integration
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Develop and maintain frontend features and user-facing interfaces connected to AI systems
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Collaborate with product and design to translate requirements into robust, shippable systems
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Own features from initial architecture through deployment and iteration
Engineering Standards and Scalability
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Write clean, well-tested, maintainable code that holds up at scale
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Contribute to CI/CD pipelines, observability, and deployment workflows
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Identify bottlenecks and propose automation or architectural improvements proactively
What You Bring
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4+ years of professional software engineering experience with a strong full-stack background
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Claude Code fluency: you use it daily in production and it is a core part of how you engineer
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Demonstrated experience building and shipping full-stack AI systems in production including automations, AI agents, or LLM-integrated workflows
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Strong system design fundamentals including APIs, databases, and distributed systems
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Product-oriented mindset with strong ownership and the ability to execute without heavy oversight
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Full availability during US business hours
Preferred but not strictly required:
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Experience with TypeScript, Python, or similar backend technologies
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Experience with modern frontend frameworks
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Exposure to cloud infrastructure such as AWS or GCP
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Experience with embeddings, vector databases, or retrieval systems
Nice to Have
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Experience building AI copilots, autonomous agents, or AI-assisted developer tooling
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Familiarity with workflow automation platforms such as n8n, Make, or similar
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Experience with Replit for collaborative or cloud-based development workflows
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Exposure to DevOps or infrastructure-as-code practices
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Experience building internal automation tools that reduce manual overhead at scale
How to Apply
Please include:
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Your updated resume
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A short Loom video (1 to 2 minutes) walking through a full-stack AI system you built in production, how you used Claude Code throughout the development process, and what the system actually does
Only candidates who submit a Loom video will be moved to the next step of the hiring process.
If you build full-stack AI systems that run in production, use Claude Code to ship faster and better, and want ownership over intelligent infrastructure that actually matters, this role gives you the technical depth and the autonomy to do your best work.
Application Process Overview
Our comprehensive selection process ensures we find the right fit for both you and our clients:
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Initial Application - Submit your application and complete our prequalifying questions
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Video Introduction - Record an video introduction to showcase your communication skills and work experience
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Role-Specific Assessment - Complete a homework assignment tailored to the position (if applicable)
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Recruitment Interview - Initial screening with our talent team
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Executive Interview - Meet with senior leadership to discuss role alignment
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Client Interview - Final interview with the client team you'd be supporting
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Background & Reference Check - Professional reference verification
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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.
