About the Client
We're helping a fast-growing marketing and operations company find an AI Automation Engineer to build the next generation of AI-powered systems across multiple businesses.
The company operates across eCommerce, subscription businesses, and service-based brands, combining marketing strategy with operational excellence. They are building a centralized AI platform that automates marketing, reporting, content production, customer workflows, and internal business operations.
This is an opportunity to help architect production-ready AI systems that will be deployed across multiple companies—not just build one-off automations.
The Role
We're looking for an experienced AI Automation Engineer who can design, build, deploy, and continuously improve AI-powered workflows, intelligent agents, and business automation systems.
This is an engineering-focused role. Beyond automation platforms, we're looking for someone with strong software engineering fundamentals who can build reliable, scalable AI systems using Claude Code, APIs, Python, and modern AI development practices.
You'll work directly with leadership to transform business processes into intelligent systems that deliver measurable operational impact.
Role Details
Commitment: Part-Time (20 hours/week)
Working Hours: Preferred overlap with Pacific Time working hours
Location: Fully Remote (PH-based candidates preferred)
Engagement: Independent Contractor
Start Date: ASAP
Monthly Rate: USD $900/month (can be higher, depending on level of experience)
What You'll Do
AI Agent Development & Automation (Core Focus)
Design, build, and maintain production-ready AI agents using Claude Code and modern LLM technologies
Develop modular agent-based systems capable of handling complex business workflows
Build reusable AI frameworks that can scale across multiple businesses
Design human-in-the-loop workflows with approval and exception handling
Continuously improve agent performance, reliability, and accuracy
Workflow Automation & Systems Integration
Build advanced automation workflows using tools such as n8n, Make, and APIs
Integrate CRM, marketing platforms, databases, communication tools, and internal systems
Develop event-driven workflows using webhooks and APIs
Design structured automation architectures that are maintainable and scalable
Troubleshoot and optimize automation performance
AI Engineering & Platform Development
Develop AI-assisted coding workflows using Claude Code
Build prompt libraries, structured outputs, and reusable AI components
Implement model routing and orchestration strategies
Design memory and long-term context management for AI agents
Build observability, monitoring, logging, and evaluation into AI systems
Optimize token usage, latency, and operational costs
Support deployment using Docker, cloud platforms, and modern development workflows
Business Process Engineering
Analyze operational workflows and identify automation opportunities
Translate business requirements into scalable technical solutions
Build AI systems supporting marketing, reporting, customer operations, and business intelligence
Document systems, architecture, and best practices
Collaborate closely with leadership to prioritize and deliver automation initiatives
What We're Looking For
Must-Haves
3+ years of experience building AI-powered applications, automation systems, or intelligent workflows
Strong experience with Claude Code and AI-assisted development
Solid programming skills in Python
Experience working with REST APIs, JSON, and Git
Experience building AI agents and multi-agent workflows
Hands-on experience with workflow automation platforms such as n8n or Make
Strong understanding of prompt engineering and structured outputs
Experience integrating multiple SaaS platforms using APIs and webhooks
Understanding of LLM architecture and AI workflow design
Experience debugging, testing, and optimizing AI systems
Familiarity with deployment concepts such as Docker, cloud environments, and scalable infrastructure
Excellent problem-solving skills and strong written and verbal English communication
Nice-to-Haves
Experience with vector databases and embeddings
Experience with monitoring, logging, and observability tools
Knowledge of AI evaluation and benchmarking techniques
Experience with CRM, marketing automation, or business systems
Experience within eCommerce, SaaS, or subscription-based businesses
Understanding of SEO, marketing automation, or growth systems
Ideal Candidate Profile
This role is ideal for someone who:
Thinks like an engineer and solves problems like a consultant
Enjoys building production-ready AI systems rather than experimental prototypes
Can rapidly move from concept to implementation
Designs scalable architectures instead of one-off automations
Is comfortable working in ambiguous, fast-moving environments
Takes ownership of technical solutions from design through deployment
Understands both the technical and commercial impact of AI automation
Is proactive, curious, and continuously learning as the AI landscape evolves
If you're passionate about building intelligent systems that create measurable business value, we'd love to hear from you.
Recruitment Process
Initial Interview
Client Interview
Technical Assessment (if deemed necessary)
Offer & Onboarding
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