AI Engineer (Full-Stack)
Philippines. Turkey. Poland. Argentina. Brazil. Nigeria, Full availability during US business hoursFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 4+ years of professional software engineering experience
- Required Skills
- AWSPythonFull Stack DevelopmentGCPTypeScriptCI/CDRESTful APIsDistributed Systems
Requirements
- 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
- Experience with TypeScript, Python, or similar backend technologies (Preferred)
- Experience with modern frontend frameworks (Preferred)
- Exposure to cloud infrastructure such as AWS or GCP (Preferred)
- Experience with embeddings, vector databases, or retrieval systems (Preferred)
- Experience building AI copilots, autonomous agents, or AI-assisted developer tooling (Nice to Have)
- Familiarity with workflow automation platforms such as n8n, Make, or similar (Nice to Have)
- Experience with Replit for collaborative or cloud-based development workflows (Nice to Have)
- Exposure to DevOps or infrastructure-as-code practices (Nice to Have)
- Experience building internal automation tools that reduce manual overhead at scale (Nice to Have)
Responsibilities
- 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
- 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
- Design and build scalable backend services, APIs, and data models that power AI features
- 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
- 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
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