Senior Python Full-Stack Engineer for AI Platform

Two95 International Inc.; George Town; Hybrid; MYR 120,000 - 180,000; Full time

Job summary

Two95 International Inc. is seeking a Mid-to-Senior Full Stack Developer in Malaysia to build and extend an Agentic AI platform. You will focus on LLM workflows, orchestration, and backend systems, delivering production-grade enhancements with minimal guidance.

The role requires strong independence, the ability to read existing codebases, and a disciplined approach to testing, validation, and debugging. This position emphasizes fast iteration and collaboration across teams.

Qualifications

• 4–8 years of Python development experience.
• Experience with production AI platforms or LLM workflows.
• Able to read and modify moderately complex Python modules (~300+ lines).
• Strong debugging, testing, and log-driven validation practices.
• Independent, self-guided work style with minimal onboarding.

Responsibilities

• Develop and enhance backend services and agentic workflows for the AI platform.
• Stateful, multi-step LLM pipelines and orchestration logic.
• Design, optimize, and maintain retrieval and scoring systems.
• Debug production issues using logs, traces, and system behavior.
• Collaborate across teams to deliver scalable and reliable AI-driven solutions.
• Implement incremental changes with strong testing and validation practices.

Skills

Python development

LLM workflows

Async/concurrency

Testing and validation

Independent problem-solver

Tools

FastAPI

Docker

Redis

LangGraph

HTML/JS

Job description

Two95 International Inc. is seeking a Mid-to-Senior Full Stack Developer in Malaysia to build and extend an Agentic AI platform. You will focus on LLM workflows, orchestration, and backend systems, delivering production-grade enhancements with minimal guidance.

The role requires strong independence, the ability to read existing codebases, and a disciplined approach to testing, validation, and debugging. This position emphasizes fast iteration and collaboration across teams.