Staff Engineer - Software (AI)

PC PARTNER TECHNOLOGY PTE. LIMITED; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

PC PARTNER TECHNOLOGY PTE. LIMITED is seeking a Staff Engineer, Software (AI) in Singapore to lead software system architecture and development of advanced AI solutions. Responsibilities include defining AI system architecture, leading integration of ML models on edge devices, and guiding cross-functional teams. The ideal candidate has at least 7 years of experience in software engineering, knowledge of Python, C++, and ML frameworks, and excellent English communication skills. The position emphasizes innovation and mentoring within the team.

Qualifications

• Minimum 7 years of experience in software engineering including full stack development.
• Experience in deploying LLM on edge devices is preferred.
• Excellent written and spoken English communication skills.

Responsibilities

• Define and drive the architecture and technical direction for AI systems.
• Lead end-to-end integration and productionization of ML models on edge environments.
• Act as technical authority across multiple teams.
• Ensure high-quality data pipelines and governance for AI systems.

Skills

Software engineering

Full stack development

Deployment on edge devices

Python

C++

Java

GPU programming (CUDA, TensorRT)

Deep learning frameworks (PyTorch, TensorFlow)

Computer Vision

Generative AI

Agentic AI

MLOps

Agile software development

Excellent English communication

Education

Degree in Computer Science or Computer Engineering (AI related)

Job description

For Singapore Applicants Only: PC Partner Technology Pte Limited will be prioritising applicants who have a current right to work in Singapore, and do not require PC Partner Technology Pte Limited's sponsorship of a visa.

Position Summary

We are looking for a Staff Engineer, Software (AI) who will be responsible for Software System architecture, leading the development of advanced AI solutions within the project team, adopting best in class technologies with cost effective, quality driven and performance optimised, ensuring alignment with the product requirements. This role will work closely with cross-functional teams to innovate, implement and deliver AI technologies through effective collaboration, technical execution and clear communication to meet project goals.

Key Responsibilities

Technical Leadership & Architecture

• Define and drive the architecture and technical direction for AI systems across application and embedded platforms
• Lead design of scalable distributed systems including AI model serving, APIs, data pipelines and agent-based architectures
• Make key architectural decisions balancing scalability, performance, cost and long-term maintainability

AI Systems & Production Engineering

• Lead end-to-end integration and productionisation of ML models on edge environments
• Define system-level standards for AI deployment, observability and reliability
• Ensure robust performance of AI systems, including latency optimisation and resource efficiency

MLOps & Platform Ownership

• Define and evolve MLOps practices including CI/CD for ML, model versioning, monitoring and automated deployment pipelines
• Ensure full ML lifecycle management: training, deployment, monitoring and retraining at scale

Cross-team Technical Leadership

• Act as technical authority across multiple teams, guiding architecture and resolving complex system challenges
• Partner with Product Management and Engineering teams to translate requirements into scalable AI solutions

Performance, Data & Quality

• Drive system and model performance optimisation on edge environments
• Ensure high-quality data pipelines, reproducibility and data governance for AI systems
• Establish engineering standards, design principles and best practices across teams

Innovation & Talent Development

• Mentor engineers and raise overall engineering capability through design reviews and technical guidance
• Evaluate and introduce emerging AI technologies (LLMs, agent systems, inference optimization) to improve platform capability

Requirements

• Min. Degree in Computer Science or Computer Engineering, major in Artificial Intelligence or related field
• Min. 7 years of experience in software engineering including full stack development
• Experience in deploying LLM on edge devices is preferred
• Experience with Python, C++, Java, and GPU-based programming (e.g. CUDA, TensorRT) with knowledge in deep learning frameworks like PyTorch or TensorFlow
• Solid understanding of MLOps, DevOps and Agile software development methodologies
• Expertise in Computer Vision, Generative AI and Agentic AI
• Experience in applications development in Window, OS for mobile (iOS, Android) and OS for embedded system
• Excellent written and spoken English communication skills, fluency in Chinese is a plus for effective interaction with Chinese-speaking stakeholders.
• Candidates must meet legal requirements to work in Singapore without sponsorship.