Applied AI Engineer - SaaS/IoT, Internal AI Tools & Automation at Keycafe

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Applied AI Engineer - SaaS/IoT, Internal AI Tools & Automation at Keycafe. Are you excited about using AI to solve real business problems — not just experiments?. Keycafe is looking for an . Applied AI Engineer. to build, automate, and deploy AI-powered internal tools and agent-style workflows. This role is execution-focused and hands-on, centered on API integrations, workflow automation, and applying modern LLMs to improve efficiency, visibility, and decision-making across the company.. You’ll collaborate closely with engineering and business teams to prototype quickly, iterate based on feedback, and ship reliable AI-driven solutions that teams actually use.. What You’ll Do. Build . AI-powered internal tools. and lightweight applications for business teams. . Develop . agent-style AI workflows. using . LLMs. for analysis, reporting, and task automation. . Work with . SQL and BigQuery. to analyze data and power dashboards, reports, and internal analytics. . Integrate internal systems using . APIs, automation pipelines, cloud services. , and . Zapier and/or n8n. to build and maintain workflow automations. . Prototype rapidly using a . vibe coding. approach and iterate based on stakeholder feedback. . Transition prototypes into . reliable, production-ready AI tools. . . Identify repetitive tasks and productivity bottlenecks and automate them using AI. . Why Join Keycafe. . Real-world impact:. Build AI tools that are used daily to run a global SaaS/IoT business. . . Execution over theory:. Focus on shipping practical solutions, not research demos. . . Ownership and autonomy:. See your work move from idea to production quickly. . . Modern AI stack:. Work hands-on with LLMs, agent workflows, and automation tools. . . Global product:. Support customers across hospitality, logistics, fleets, and government. . Experience in . software engineering, data engineering, analytics, or applied AI. . . Strong hands-on experience with . SQL and BigQuery. (or similar cloud data warehouses). . Experience building and deploying applications in . cloud environments. , especially . Google Cloud Platform (GCP). . . . Practical experience integrating APIs and automating workflows. , including hands-on use of . Zapier and/or n8n. . . . Experience building AI-powered applications. , including . LLM integrations, prompt design and iteration, and tool-using or agent-style workflows. . . Experience using . Opus 4.5. and . Claude Code. for AI-assisted development. . A strong . builder mindset. — comfortable vibe coding, experimenting, and shipping quickly. . Ability to turn loosely defined problems into practical, working solutions. . Nice to Have. Experience building . internal tools. or supporting business teams. . Familiarity with . Looker. , metrics, or data modeling concepts. . Exposure to . event-driven architectures. or workflow orchestration. . Interest in . SaaS, B2B, or IoT. , especially hardware-enabled products.. Company Location: Argentina.