Full Stack Developer (imAI Platform)

Two95 International Inc.; George Town; On-site; MYR 90,000 - 180,000; Full time

Job summary

Two95 International Inc. is hiring 2–3 Full Stack Developers to accelerate the imAI platform development and MLOps capabilities in Penang, Malaysia.

You will develop and support full-stack, cloud-native applications for the platform, including frontend UI, backend services, and deployment in scalable environments. The ideal candidate has strong Python and Go, React frontend, SQL/NoSQL databases, Docker and Kubernetes, Linux/WSL2, and exposure to AI/ML tools.

Qualifications

• Strong programming in Python and Go (Rust is a plus).
• Frontend development using React.
• Experience with SQL and NoSQL databases.
• Familiarity with S3-based object storage.
• Knowledge of cloud-native architectures (microservices, event-driven systems).
• Hands-on experience with Docker and Kubernetes.
• Comfortable working in Linux / WSL2 environments.
• Exposure to AI/ML frameworks and tools.

Responsibilities

• Develop and support full-stack, cloud-native applications for the imAI platform.
• Collaborate across frontend, backend, and deployment to ensure scalable solutions.
• Contribute to MLOps capabilities and platform improvements.

Job description

Job Description

Full Stack Developers (imAI Platform)

We are looking to onboard 2–3 Full Stack Developers to accelerate imAI platform development and MLOps capabilities.

Role Summary:

Develop and support full-stack, cloud-native applications for the imAI platform, including frontend UI, backend services, and deployment in scalable environments.

Required Skills:

• Strong programming in Python and Go (Rust is a plus)


• Frontend development using React


• Experience with SQL and NoSQL databases


• Familiarity with S3-based object storage


• Knowledge of cloud-native architectures (microservices, event-driven systems)


• Hands-on experience with Docker and Kubernetes


• Comfortable working in Linux / WSL2 environments


• Exposure to AI/ML frameworks and tools

Experience Level:

• Mid to Senior level preferred (3–8 years of experience)


• At least 2+ years in cloud-native / containerized environments


• Experience in MLOps or AI platforms is a strong advantage