Applied AI Engineer – SaaS/IoT, Internal AI Tools & Automation
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Job Description
Applied AI Engineer building AI tools and workflows for a SaaS/IoT company. Collaborating across teams to deliver practical, production-ready AI solutions.
Responsibilities:
- 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.
Requirements:
- 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.
Benefits:
- Competitive compensation: base salary 17,500 - 22,500 USD annually + annual performance bonus (based on impact and delivery).
- Great team culture with high ownership, fast shipping, and meaningful cross-functional collaboration.
- Training and growth opportunities: budget and support for learning (data engineering, analytics engineering, AI apps, cloud).
- Global product impact: your work improves how teams operate and supports Keycafe’s worldwide customer footprint.
- Remote-first with the tools you need to do great work (equipment/support as needed).
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