Artificial Intelligence Engineer

Role: Physical AI Engineer

Location: Singapore

Experience: 3-8 Years

Role Overview

We are looking for a Physical AI Engineer who specializes in building LLM‑enabled robotic and physical AI systems.

This role focuses on integrating Large Language Models with perception, reasoning, and control systems to enable intelligent behavior in real‑world environments.

Hands‑on experimentation, is comfortable working independently, and can translate AI reasoning into physical actions through robotic systems and sensors.

Key Responsibilities

Design, develop, and enhance physical AI systems and robotic applications using LLMs.

Integrate Large Language Models with perception, control, and action pipelines.

Build perception workflows using sensor data (e.g., vision, audio, or environment signals).

Implement LLM‑driven reasoning, planning, and task execution for physical systems.

Develop backend and control logic using Python.

Prototype and deliver demo‑ready physical AI proof‑of‑concepts with minimal supervision.

Experiment with emerging tools, models, and techniques in robotics and embodied AI.

Continuously improve system reliability, responsiveness, and real‑world performance.

Required Skills & Qualifications

Proficiency in Python for AI and system logic development.

Strong interest or hands‑on experience in robotics or physical systems.

Understanding of Large Language Models (LLMs), VLA, teleoperations and their real‑world applications.

Knowledge of perception, decision‑making, and control systems.

Ability to translate high‑level AI output into physical actions.

Comfortable working independently and learning new tools as required.