AI Systems Engineer (LLM & AI Agent Development)

AI Systems Engineer (LLM & AI Agent Development)Position Type: Full-Time, RemoteWorking Hours: U.

• AI Systems Engineer (LLM & AI Agent Development)
• Position Type: Full-Time, Remote
• Working Hours: U.S. Business Hours
• About the Role
• We are looking for a highly technical AI Systems Engineer to help build, maintain, and expand a growing ecosystem of AI-powered applications, autonomous agents, and internal software systems.
• This is an execution-focused engineering role. You will work directly with the founder to implement AI architectures, build new AI-driven features, improve existing systems, and rapidly deliver production-ready solutions.
• We are specifically looking for someone who has built sophisticated AI systems in production—not someone who has simply used ChatGPT or experimented with prompt engineering.
• Responsibilities
• AI Systems Development
• Build and maintain AI-powered web applications.
• Develop and improve autonomous AI agent systems.
• Implement multi-agent workflows and orchestration.
• Build AI systems where multiple agents coordinate under a master orchestrator.
• Develop recursive AI workflows and advanced automation pipelines.
• Integrate LLMs into production applications and internal tools.
• Product & Platform Development
• Expand and maintain an internally developed CRM platform.
• Build new features across multiple AI-powered products.
• Improve production systems through debugging, optimization, and ongoing enhancements.
• Build scalable backend services and APIs.
• Collaborate directly with the founder to rapidly execute product ideas.
• Integrations & Automation
• Integrate AI applications with HubSpot and other business systems.
• Build API integrations between internal platforms and third-party applications.
• Improve workflow automation and data synchronization across multiple systems.
• Support AI-powered business assistants and internal automation tools.
• AI Architecture & Agent Ecosystems
• Build and maintain graph memory architectures.
• Design secure information-sharing between AI agents.
• Implement memory management and data segmentation strategies.
• Ensure privacy controls and security boundaries across AI systems.
• Optimize AI performance, reliability, and scalability.
• Required Experience & Skills
• Must-Have
• 5+ years of professional software engineering experience.
• Strong experience building production AI applications.
• Proven experience developing autonomous AI agent systems.
• Experience implementing multi-agent orchestration and AI workflows.
• Strong Python development experience.
• Strong Node.js development experience.