Software Engineer
Summary
Builds backend services that ingest IoT, video, and energy data, deploy AI models, and integrate vendor APIs to power smart logistics and facility operations.
Why This Role Matters:
We're building the brains of modern operations. Whether it's a logistics hub, a smart warehouse, or a tech-enabled facility, we bring together IoT, AI, and automation to drive efficiency and intelligence. As a Software Engineer, you’ll turn fragmented systems into one smooth, data-driven platform — unlocking insights, automating routine tasks, and making operations smarter by design.
What You’ll Do:
- Develop backend services to ingest and process data from IoT devices, energy meters, and video analytics.
- Integrate with vendor APIs and SDKs (e.g., MQTT brokers, HTTP/REST APIs, camera RTSP streams).
- Deploy and wrap AI models (e.g., YOLO, LLMs) as microservices or cloud functions.
- Build pipelines to store, clean, and analyze real-time data.
- Work closely with frontend engineers to deliver data and insights to dashboards.
- Participate in product design discussions, help evaluate third-party hardware/software.
- Collaborate with frontend developers to surface critical insights on operational dashboards.
What You Bring:
- 1–2 years in hands-on software development (Python preferred).
- Experience building APIs(REST, FastAPI) and deploying on cloud platforms (especially AWS).
- Familiarity with Docker, Git, and basic DevOps workflows.
- Exposure to AI/ML models, even if it's just deploying or integrating them into workflows.
- Comfortable reading vendor docs, testing SDKs, and troubleshooting real-world device setups.
Bonus Points for:
- MQTT or other message brokere xperience.
- Interest in automation for logistics, robotics in warehouses, or smart building controls.
- Familiarity with Anthropic’s MCP or similar model orchestration frameworks.
Required:
- Bachelor's degree (or higher) in one of the following fields:
- Computer Science
- Electrical or Computer Engineering
- Mechatronics
- Robotics
- Information Systems
- Data Science (with strong software/IoT background)
Preferred or Bonus Experience:
- Hands-on experience with IoTdevice integration
- AI/ML deployment knowledge
- Experience working in logistics, warehousing, or facilities automation