Sovereign AI Product Engineer

YTL AI Labs; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

Job summary

YTL AI Labs is seeking an AI Product Engineer to design, build, and refine AI-powered user experiences. You will collaborate with product managers and platform engineers to translate user needs into production-ready features.

Responsibilities include designing AI workflows, managing model context, building user interfaces, and owning backend logic for prompts, responses, and tool calls. You will also maintain CI/CD and monitoring for deployed AI features.

Qualifications

• 2+ years of software development experience, with exposure to LLM or ML apps preferred.
• Strong frontend skills with React/Next.js and backend capabilities in Python/Node.js.
• Familiarity with prompt design, agent orchestration, and AI interactions.
• Comfortable in fast-moving, exploratory environments.
• Experience using AI-native developer tools such as Replit, Cursor, Codeium or similar.

Responsibilities

• Design and implement AI-powered user experiences.
• Collaborate with product managers and platform engineers to translate user needs into production-ready features.
• Design and implement user-centric AI workflows using prompt builders, memory APIs, and agent orchestration.
• Manage context inputs for models including memory and retrieved knowledge; implement latency- and cost-aware interactions.
• Build and integrate user interfaces (React or similar frameworks) and own backend logic for routing prompts, responses, and tool calls.
• Maintain CI/CD pipelines and monitoring for deployed AI features.
• Refine prompts and logic through telemetry and performance data; contribute to reusable design patterns and code libraries.

Skills

Frontend React/Next.js

Backend Python/Node.js

LLM/ML app exposure

AI workflows design

Prompt design

Tools

Replit

Cursor

Codeium

Job description

YTL AI Labs is seeking an AI Product Engineer to design, build, and refine AI-powered user experiences. You will collaborate with product managers and platform engineers to translate user needs into production-ready features.

Responsibilities include designing AI workflows, managing model context, building user interfaces, and owning backend logic for prompts, responses, and tool calls. You will also maintain CI/CD and monitoring for deployed AI features.