Software Engineer
Summary
Build backend services to process IoT, energy, and video data, deploy AI models, and integrate vendor APIs for smart logistics and facilities automation.
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