Senior AI Automation Engineer – Code Review

I’ve built a custom AI automation platform to automate my workflow across several local laptops, each dedicated to a different task. Previously, I had to manually monitor and operate each machine. The new platform automates those local processes and connects them to a central internet-based server, allowing me to manage everything from one place. I’m looking for an experienced AI automation engineer / software architect to conduct a thorough code and architecture review. What I Need Reviewed - Overall architecture and system design - Local machine ↔ central server communication - Code quality, structure, and maintainability - AI/agent automation and workflow reliability - API design and data flow - Error handling and failure recovery - Security, authentication, and remote execution - Scalability and production readiness - Performance, logging, and monitoring - Potential bugs and technical debt Deliverables I’d like a concise technical review covering: - Critical issues that must be fixed - Recommended improvements - Security and reliability risks - Architectural concerns - Scalability issues - A practical roadmap for improving the system This is primarily a code and architecture review, not a new development project. I’m looking for an objective expert assessment with practical recommendations. Ideal Candidate Strong experience with: - AI automation / AI agents - Distributed systems - Backend and full-stack architecture - APIs and cloud infrastructure - Multi-machine automation - Security and production systems Experience reviewing AI automation or agentic systems is a strong plus. Please briefly share your experience with similar systems and how you would approach this review.