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

You will be paid in USD (bi-monthly: every 15th and 30th)
Paid Time Off in accordance with company policy
Observance of Holidays per company guidelines
100% remote setup so you can work wherever you're most productive
High-ownership engineering role with direct impact on product and AI infrastructure
Opportunity to design and ship AI-powered systems from the ground up
Direct collaboration with product and engineering leadership

What You'll Work On

Claude Code and AI-Assisted Development

Use Claude Code as your primary development tool for writing, refactoring, debugging, and shipping production code
Leverage Claude Code to accelerate full-stack development without sacrificing quality or maintainability
Build editor utilities, automation scripts, and internal tooling using Claude Code workflows
Continuously push the limits of what Claude Code enables across the stack

Full-Stack AI System Development

Design and build full-stack AI systems including automations, intelligent workflows, AI agents, and LLM-integrated products
Integrate AI services, LLMs, and automation layers into both backend and frontend systems
Build guardrails, monitoring, and fallback mechanisms that keep AI systems reliable in production
Optimize prompt architecture, model usage, and system performance across live environments

Backend and API Architecture

Design and build scalable backend services, APIs, and data models that power AI features
Architect clean service layers connecting AI components with application logic
Ensure performance, security, and long-term maintainability across the full stack

Frontend and Product Integration

Develop and maintain frontend features and user-facing interfaces connected to AI systems
Collaborate with product and design to translate requirements into robust, shippable systems
Own features from initial architecture through deployment and iteration

Engineering Standards and Scalability

Write clean, well-tested, maintainable code that holds up at scale
Contribute to CI/CD pipelines, observability, and deployment workflows
Identify bottlenecks and propose automation or architectural improvements proactively

What You Bring

4+ years of professional software engineering experience with a strong full-stack background
Claude Code fluency: you use it daily in production and it is a core part of how you engineer
Demonstrated experience building and shipping full-stack AI systems in production including automations, AI agents, or LLM-integrated workflows
Strong system design fundamentals including APIs, databases, and distributed systems
Product-oriented mindset with strong ownership and the ability to execute without heavy oversight
Full availability 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 with embeddings, vector databases, or retrieval systems

Nice to Have

Experience building AI copilots, autonomous agents, or AI-assisted developer tooling
Familiarity with workflow automation platforms such as n8n, Make, or similar
Experience with Replit for collaborative or cloud-based development workflows
Exposure to DevOps or infrastructure-as-code practices
Experience building internal automation tools that reduce manual overhead at scale

How to Apply

Please include:

Your updated resume
A short Loom video (1 to 2 minutes)<

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