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

, , Mexico -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

22500.0

Posted On

27 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Applied AI, SaaS, IoT, Workflow Automation, SQL, BigQuery, API Integration, Cloud Services, Zapier, n8n, LLMs, Data Analysis, Prototyping, Automation, Agent Workflows, Problem Solving

Industry

Software Development

Description

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. 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).

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

The Applied AI Engineer will build and deploy AI-powered internal tools and workflows, focusing on automating tasks and improving decision-making. Collaboration with engineering and business teams is essential for prototyping and transitioning solutions into production.