Role OverviewThe Junior AI & Automation Engineer is a hands‑on builder role within K Group's AI and Automation practice. This role focuses on the design, construction, and iteration of automation workflows, AI‑assisted integrations, and internal tooling that the practice delivers to clients and deploys internally.Core ResponsibilitiesDesign, build, and maintain automation workflows using n8n, APIs, and webhook‑based integrations across business platforms.Develop AI‑assisted pipelines including document processing, classification, notification routing, and data transformation workflows.Connect disparate systems—CRMs, ticketing platforms, ERPs, communication tools—that were not designed to work together.Build and iterate on internal tools that reduce manual effort and create measurable operational efficiencies for K Group and its clients.Client Delivery SupportAssist with delivery execution on AI/automation client engagements under the direction of practice leadership.Participate in client discovery sessions as a technical contributor, supporting needs assessment and solution scoping.Translate defined business requirements into working systems and document outcomes clearly for client and internal stakeholders.Contribute to reusable delivery frameworks, templates, and runbooks that allow the practice to scale across multiple client engagements.Internal EnablementBuild lightweight dashboards and front‑end tools that surface automation outputs to non‑technical users.Document workflows, integration maps, and configuration notes so solutions are maintainable and transferable.Support internal AI adoption by contributing to training materials and usage playbooks as the practice grows.What Success Looks Like — Year OneProduction‑grade automation workflows deployed for internal K Group operations.At least two client delivery engagements contributed to or completed on time and within scope.Reusable workflow templates or delivery components documented and handed off to the practice library.Clear growth path identified toward a senior engineering role within the AI & Automation practice.Experience & QualificationsHas built something for the joy of building it—such as a homelab, a personal automation, a self‑hosted stack, or a side project.Comfortable working with APIs, webhooks, and JSON without needing a tutorial for every call.Familiar with Linux environments and capable of reading documentation when there's no walkthrough available.Communicates clearly—can explain what something does and why it was built that way.Can figure things out without a strict playbook.Bonus QualificationsHands‑on experience with n8n, Make (Integromat), Zapier, or similar automation platforms.Familiarity with AI/LLM tooling—OpenAI API, Ollama, Anthropic, LangChain, or similar.Python or JavaScript scripting at a working level (not a developer, but comfortable in code).Background in IT, MSP, sysadmin, or network environments.Docker or self‑hosted deployment experience.Reporting & StructureReports to: Director of EngineeringTeam: AI Enablement TeamLocation: Grand Rapids, MIWork Authorization RequirementApplicants must be legally authorized to work in the United States at the time of application. This position does not offer employment visa sponsorship now or in the future. This role is 100% onsite in Grand Rapids, Michigan. No third‑party recruiters, agencies, or C2C arrangements.#J-18808-Ljbffr