Senior AI Platform Engineer: End-to-End Deployment

A*STAR Research Entities (A*STAR); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR Research Entities (A*STAR) in Singapore seeks a capable software engineer to translate AI research prototypes into a robust, deployment-ready system. You will work with research scientists, solution architects and QA to integrate ASR, NLU, LLM and multi-agent components into an end-to-end platform.

The role emphasizes strong software engineering, full-stack development, deployment automation and system hardening for reliable delivery in performance- and security-constrained environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems or a related technical discipline.
• Strong programming skills and demonstrated ability to build reliable software systems.
• Strong full-stack development experience covering backend services/APIs and modern web application development.
• Solid understanding of software architecture, data structures, concurrency, networking fundamentals and distributed/service-oriented systems.
• Hands-on experience with Linux-based development and deployment environments.
• Experience with Git, automated testing and disciplined software development practices.
• Demonstrated ability to debug complex end-to-end systems and resolve issues across multiple software layers.
• Strong delivery mindset: ability to take technical work from requirements and prototype through integration, testing and demonstrable working software.
• Good written and verbal communication skills and ability to work effectively with research, engineering and domain-expert teams.

Responsibilities

• Package and deploy AI inference services and supporting application components on project compute and prototype deployment infrastructure.
• Implement and maintain interfaces between the Audio Extraction Gateway, AI inference/model-orchestration platform and services, and user-facing applications.
• Support integration with standard web endpoints, audio codecs, metadata flows and industry-grade interfaces used by the project architecture.
• Build deployment configurations that can be reproduced across development, test, simulated and controlled operational environments.
• Develop and maintain backend services, APIs, data flows and application logic supporting real-time processing and system operations.
• Develop or support operator-facing web interfaces and dashboards.
• Implement service-to-service communication, asynchronous processing and state management required by the integrated platform.
• Build administrative, configuration and diagnostic functions needed for engineering testing and deployment support.
• Collaborate with UI/UX and end-user stakeholders to translate operational requirements into usable and maintainable software features.
• Write clean, modular and testable code with clear documentation and configuration management.
• Profile and optimize end-to-end latency, throughput, memory usage, GPU utilization and service concurrency against project performance targets.
• Implement robust timeout, retry, fallback, health-check and degraded-mode behaviours so that failures are controlled and observable.
• Conduct load, stress and endurance testing on target hardware and help identify system bottlenecks across application, network and model-serving layers.
• Develop containerized deployment workflows and automated build, test and release processes for project software.
• Maintain environment configuration, dependency management, versioning and reproducible deployment artefacts.
• Implement logging, metrics, tracing and diagnostic tooling to support testing, troubleshooting and demonstration activities.
• Support secure deployment within restricted or controlled environments, including access control, configuration hygiene and handling of project data according to applicable requirements.
• Support infrastructure setup for inference servers, prototype deployment servers, storage and endpoint access required for trials and demonstrations.
• Contribute to deployment, infrastructure, maintenance and troubleshooting documentation for subsequent transition and knowledge transfer.

Skills

Strong programming

Full-stack development

Linux experience

Git & automated testing

Debug complex systems

Education

Bachelor's or Master's in CS/SE

Tools

Docker

CI/CD

React/Angular/Vue

Job description

A*STAR Research Entities (A*STAR) in Singapore seeks a capable software engineer to translate AI research prototypes into a robust, deployment-ready system. You will work with research scientists, solution architects and QA to integrate ASR, NLU, LLM and multi-agent components into an end-to-end platform.

The role emphasizes strong software engineering, full-stack development, deployment automation and system hardening for reliable delivery in performance- and security-constrained environments.