We are looking for an experienced AI systems engineer / architect to help design and implement our core AI system.
We are building operational AI systems based on autonomous agents. These systems are deployed into real business workflows and run in production. This is not a prototype, PoC, or research project.
Scope of work
Design the overall system architecture
Select appropriate platforms, tools, and models
Implement agent-based workflows
Integrate with common business systems (CRM, calendars, messaging, forms, etc.)
Ensure the system is stable, scalable, and maintainable
Document architecture and design decisions
The first system focuses on handling inbound inquiries, qualification, follow-up, and booking, but the architecture must be reusable for future systems.
What we are building
Agent-based AI systems
Clear separation of responsibilities between agents
Event-driven workflows
Production-ready systems (not demos)
Focus on reliability and operational use
Required experience
Strong experience building AI-powered systems in production
Experience with LLM-based agents and orchestration
Backend and integration experience
Ability to make sound architectural decisions
Comfortable owning technical decisions end-to-end
Nice to have
Experience with tools like OpenAI, voiceflow, n8n, make, zapier, ghl etc..
Experience designing systems for SMB use cases
Experience with cloud infrastructure and deployment
Experience with monitoring, logging, and error handling for AI systems
What we value
Pragmatic engineering over experimentation
Clear thinking and clean architecture
Ability to explain trade-offs and decisions
Focus on systems that actually run in production
Engagement
Contract / freelance
Long-term collaboration possible
Start immediately
If this sounds like a fit, send a short introduction, relevant experience, and examples of similar systems you have built.