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prism ai studio pte. ltd.

Singapore / Global

Software Engineer

Job Description

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

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