• Build an internal AI assistant trained on company data (fires, SOPs, client issues, documentation) • Extract and structure data from tools like Monday.com, Google Drive, Slack, and Front • Implement RAG (Retrieval Augmented Generation) systems to make company knowledge searchable and actionable • Create automations that reduce manual work across departments (Client Success, Ops, Sales) • Set up and optimize workflows within tools like GoHighLevel (CRM), including automations for leads, follow-ups, and internal processes • Continuously improve internal workflows using AI • Identify bottlenecks and proactively suggest AI-driven solutions • Provide strategic input on potential AI-based products, services, or enhancements we could offer to clients

Role Description We are building a hardware-agnostic IoT platform that connects physical sensors, industrial controllers, gateways, and OEM devices to a unified cloud dashboard. We need an experienced IoT Systems & Integration Engineer who can build the protocol adapters, gateway software, and device abstraction layer that makes this possible. This role works directly with a large ecosystem of OEM hardware suppliers across multiple countries. Qualifications - 5–9 years of hands-on IoT systems integration, embedded systems, or industrial automation work — lab or field hardware experience is mandatory; purely software candidates will not be considered. - Deep, practical Modbus TCP and RTU experience — you have implemented Modbus masters and slaves, mapped register addresses from datasheets, and debugged communication failures at the byte level. - Solid MQTT knowledge: broker configuration, topic design, QoS level selection, hardware MQTT client integration and troubleshooting. - Python for production-quality protocol adapter development — not scripting; you write maintainable, tested integration libraries. - Industrial IoT gateway configuration and programming: Advantech, Moxa, Pepperl+Fuchs, or any equivalent embedded Linux gateway platform. - OPC-UA hands-on experience: browsing server address spaces, reading node values, implementing client subscriptions. - Ability to read hardware datasheets, electrical schematics, and communication protocol specifications independently — this is a day-to-day requirement, not an occasional one. - Sensor domain experience across at least 3 of the following: temperature/humidity, power/energy monitoring, GPS/asset tracking, pressure/flow, vibration/accelerometer, air quality. - Remote work discipline: rigorous documentation habits, async-first communication, and ability to coordinate physical hardware testing across distributed locations. Requirements - Build and maintain the device integration layer: Python and C-based protocol adapters, drivers, and translation modules for sensors, PLCs, energy meters, gateways, and OEM hardware. - Implement production-quality integration adapters for: MQTT v3.1/v5.0, Modbus TCP, Modbus RTU, OPC-UA, BACnet/IP, SNMP, CoAP, HTTP REST, and proprietary OEM APIs. - Write reusable protocol libraries that abstract hardware communication behind a unified Device Interface — not one-off scripts per device. - Build and maintain the Device Compatibility Matrix: all tested hardware logged with protocol version, firmware, known issues, config templates, and onboarding effort estimate. - Conduct hardware-in-the-loop testing for every new device: validate telemetry accuracy, command round-trip time, error handling, and reconnection behaviour under interrupted connectivity. - Build device profile templates enabling configuration-based onboarding of certified device types — no customer-side code required. - Implement data normalisation: raw hardware values (register counts, voltage, proprietary units) converted to standardised engineering-unit JSON telemetry. - Build edge gateway software running on embedded Linux gateways and Raspberry Pi-class devices for local protocol translation, data buffering, and pre-processing. - Implement local data buffering on edge: no data loss during cloud connectivity gaps — mandatory for industrial and logistics deployments. - Develop edge aggregation logic: configurable statistical summaries to reduce uplink bandwidth where cloud cost or connectivity is constrained. - Configure and validate edge runtimes: AWS Greengrass, Azure IoT Edge, or Node-RED on target OEM gateway hardware. - Implement secure edge-to-cloud communication: mTLS with X.509 certificates, certificate rotation, and revocation handling. - Build OTA update clients on edge devices: receive, validate, stage, and apply firmware updates from the platform OTA service. - Evaluate new hardware from the supplier ecosystem: produce integration feasibility reports and effort estimates within 48 hours of receiving a new device. - Work with OEM technical teams to obtain datasheets, SDK documentation, communication specs, and evaluation units. - Write SDK and integration guides for each certified hardware family — enabling customers to self-onboard without raising support tickets. - Validate hardware compatibility for customer deployment environments before any commercial commitment is made. - Maintain complete documentation for every integration: protocol specs, firmware versions tested, known limitations, configuration templates, troubleshooting steps. Benefits - Remote work flexibility. - Opportunity to work with cutting-edge IoT technologies. - Collaborative and innovative work environment.

• Responsible for configuring, rolling out, and supporting the assigned Beaker Epic application(s) • Plans, designs/builds, tests, implements, and supports the needs of Beaker Epic software • Analyzes and determines system requirements and specifications, performing and documenting workflow analysis while evaluating user experience • Works towards building higher-level skills and interoperability knowledge • Ability to identify some issue resolution within support work with little or no assistance or direction from direct supervisor • Consistently contributes to and manages small to medium task sets within the assigned area of a project • Contributes to workflow analysis, data collection, report details, or other technical configurations to understand application functionality and customer perspective.

• Work independently to research, define, plan, and implement new Genesys Cloud CX technology projects following the guidance and prioritization of the Director of Business Applications • Evaluate existing Genesys Cloud CX workflows and configurations used in operations, identify opportunities to streamline workflows, and leverage under-utilized functionalities • Lead the implementation of AI voice agent capabilities within Genesys Cloud, identifying opportunities to automate routine interactions, reduce wait times, and free staff to focus on higher-complexity engagements • Serve as a subject matter expert for the engineering team for all Genesys-related integration projects, and maintain all production and test environments for Genesys Cloud CX • Manage the relationship with the Genesys vendor and with key stakeholders for WelbeHealth teams that utilize Genesys • Learn and support additional enterprise applications as needed with guidance from the Director of Business Applications