AI Automation Engineer (Claude Code & AI Agents)

Bamboo Works; United States; Remote; USD 9,100 - 11,000; Part time

Job summary

Bamboo Works is seeking an AI Automation Engineer to design, build, and deploy AI-powered workflows and intelligent agents. This role emphasizes production-grade systems, Claude Code, and modern development practices to impact multiple businesses.

The position is part-time (20 hours/week), fully remote with Pacific overlap preferred, and compensation is USD 900/month, with potential increases based on experience. Independent contractor engagement with ASAP start.

Qualifications

• 3+ years building AI-powered apps or automation workflows.
• Strong Python and Claude Code experience.
• Experience with REST APIs, JSON, Git.
• Experience building AI agents and multi-agent workflows.
• Hands-on with n8n or Make for automation.
• Understanding of prompt engineering and structured outputs.

Responsibilities

• Design, build, and maintain production-ready AI agents using Claude Code.
• Develop modular agent-based systems for complex workflows.
• Build scalable AI frameworks across multiple businesses.
• Design human-in-the-loop workflows with approvals.
• Improve agent performance and reliability continually.

Skills

Claude Code

Python

REST APIs

Git

AI agents

n8n/Make

Prompt engineering

Webhooks

Cloud environments

APIs integration

Tools

Docker

Kubernetes

Job description

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

Recruitment Process

• Initial Interview

• Client Interview

• Technical Assessment (if deemed necessary)

• Offer & Onboarding