IoT Solutions Engineer

• Location: Mexico, with availability to travel. We prioritize candidates based in CDMX, Puebla, Querétaro, or Estado de México.
• Work Setup & Travel: Primarily remote, with occasional travel based on project and customer needs — approximately 4 trips per year of up to one week each.
• Visa: Must currently hold, or be able to obtain prior to employment, a valid U.S. B1/B2 Visitor Visa for occasional business travel to the United States.

We're looking for a hands-on IoT engineer who can research technologies, connect and test devices, build prototypes, troubleshoot integrations, and turn findings into scalable solutions.

A key part of the role is connecting IoT devices used in buildings to Keedian's technology — such as energy meters, thermostats, temperature sensors, HVAC controllers, and gateways.

You might build a small lab environment, test different devices and integrations, and determine which solutions should become part of our standard technology stack.

The goal: define what technology we should use, how it should connect, and how to make it reliable, cost-efficient, and scalable across hundreds or thousands of locations.

• →Research, test, and select IoT technologies, including sensors, controllers, gateways, meters, routers, and connectivity solutions. You'll build prototypes, configure devices, troubleshoot integrations, compare alternatives, and determine which technologies best meet our technical, operational, and cost requirements.
• →Design and standardize IoT solutions by defining how devices connect with Keedian Link and our broader ecosystem. You'll create repeatable reference architectures, technical specifications, device configurations, and Bills of Materials (BOMs) using technologies such as MQTT, LoRaWAN, BACnet, Modbus, APIs, and edge-to-cloud connectivity.
• →Work hands-on with edge devices and connectivity, including Linux-based gateways, IP networking, cellular connectivity, VPNs, and remote access. You'll diagnose communication issues and collaborate with Product & Engineering when integrations require changes or improvements to our platform.
• →Leverage AI as part of your engineering workflow, using conversational and development-focused AI tools to accelerate research, analyze technical information, troubleshoot problems, prototype solutions, generate or review code, and improve engineering productivity.
• →Translate real-world requirements into technical solutions, adapting existing architectures or researching new technologies when customer needs require something different. You'll provide the technical architecture, hardware selection, and specifications needed to support proposals and deployments.
• →Continuously improve our technology stack, using lessons learned from testing and deployments to simplify installations, improve reliability, reduce costs, and turn individual solutions into repeatable products that can scale across our customers.

• Bachelor's degree in Electronics Engineering, Mechatronics, Electrical Engineering, Telecommunications, Computer Engineering, Automation, or a related technical field.
• 3+ years of hands-on experience with IoT, embedded/edge technologies, electronics, automation, or connected devices.
• Strong practical understanding of IoT architectures and device connectivity.
• Hands-on experience working with Linux environments.
• Practical experience with MQTT.
• Experience configuring, integrating, testing, or troubleshooting physical IoT devices.
• Ability to understand technical documentation, device specifications, APIs, and communication protocols.
• Experience selecting hardware or comparing technical alternatives based on requirements.
• Basic networking knowledge, including IP networking, routers, VPNs, cellular connectivity, and remote access.
• Strong hands-on experience using AI tools in technical work, including both conversational AI and AI-assisted software development. You should be comfortable using AI beyond basic prompting — for technical research, troubleshooting, solution design, prototyping, code generation/review, automation, and accelerating engineering workflows.
• Strong troubleshooting and problem-solving skills.
• Professional working proficiency in English and Spanish.
• Availability for occasional travel.

You don't need to come from a traditional Building Automation background. However, experience in any of the following would be highly valuable:

• LoRaWAN
• BACnet and Modbus
• Building Automation Systems (BAS/BMS)
• HVAC controls
• Energy metering
• Refrigeration monitoring and controls
• Lighting controls
• Niagara Framework
• Edge computing
• Cloud IoT platforms
• APIs and system integrations
• BLE, Zigbee, or other wireless IoT technologies
• Energy analytics or Fault Detection & Diagnostics (FDD)
• Experience integrating AI/LLM capabilities into technical solutions, applications, automations, or engineering workflows

Experience with technologies or vendors such as Milesight, Teltonika, Accuenergy, Carel, Siemens, Honeywell, Johnson Controls, Schneider Electric, or similar ecosystems is also valuable.

We're looking for someone curious, proactive, and highly hands-on — someone who enjoys experimenting, troubleshooting, learning unfamiliar technologies, and taking ownership until a technical problem is solved.

You should also be someone who actively embraces AI as an engineering tool — not simply as a chatbot, but as a way to research faster, experiment, build, automate, troubleshoot, and increase the quality and speed of your technical work.

Just as importantly, you should naturally think beyond “How do I make this work?” toward “How do we make this repeatable and scalable?”