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AI Systems Engineer (LLM & AI Agent Development)

Pavago•Colombia•🌍 Remote
Full-time3-7
👁️ 0 views•📝 0 applications•Posted 10/27/2026•Expires 12/26/2026
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Job Description

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 contr

Required Skills

AI systems developmentautonomous AI agentsmulti-agent workflowsLLMsCRM platformsbackend servicesAPIsHubSpotworkflow automationdata synchronizationgraph memory architecturesmemory managementdata segmentationproduction systems debuggingoptimizationautomation pipelinessecure information-sharinginternal automation tools
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