Full Stack Developer with AI/LLM integration
Description
CMK Resources is seeking an experienced Full Stack Developer with AI/LLM integration experience to support the development of a multi-agent AI orchestration platform. This consultant will work alongside an existing AI Developer to help design, build, and integrate AI-driven workflows, automation, and enterprise system connectivity. The project is approved as a fixed-scope engagement estimated at approximately two months. Key Responsibilities Assist in the development of a multi-agent AI orchestration service. Build and maintain full-stack application components. Develop AI and Large Language Model (LLM) integrations. Create and manage workflow automation using n8n or similar platforms. Design and integrate APIs between enterprise systems and AI services. Support orchestration and communication between multiple AI agents. Work with structured and unstructured data sources. Collaborate with technical stakeholders to define and implement integration requirements. Participate in source control, testing, deployment, and documentation activities. Required Technical Skills Languages JavaScript Python SQL HTML CSS JSON Markdown Frameworks / Platforms n8n or similar workflow automation platform Node.js MCP (Model Context Protocol) or similar integration/orchestration frameworks Docker Databases PostgreSQL Experience with vector databases/vector storage concepts Tools Git GitHub and/or GitLab VS Code Command Line / Terminal Batch scripting Technical Experience Full Stack Development AI/LLM Integration API Development and Integration Workflow Automation Enterprise System Integration AI/ML concepts and implementation Preferred Experience Experience building AI agents or multi-agent systems. Experience integrating AI solutions into manufacturing or enterprise environments. Experience with retrieval-augmented generation (RAG), vector search, and AI orchestration frameworks. Exposure to Plex ERP, MES platforms, or other manufacturing systems (to be confirmed). Show more Show less