Number of Applicants
:000+
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*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
Requirements
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