Software Engineer

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