Lead AI Engineer - Transport Ops & Systems

Land Transport Authority (LTA) Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

2 days ago
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Job summary

Land Transport Authority (LTA) Singapore is seeking a Senior/Executive AI Software Developer for the Transport AI Programme. You will design, develop, and maintain AI-powered applications that improve how Singapore's land transport network is sensed, managed, and optimized.

You will collaborate with data scientists, AI architects, and operations teams to translate models into production-grade software, with guardrails and monitoring to ensure safe, reliable operation in public services.

Qualifications

  • 3–6 years of software development experience, with at least 2 years working on AI or ML-integrated systems.
  • Proficient in Python and familiar with LangChain, LlamaIndex, PyTorch.
  • Experience with cloud-native development (AWS, Azure, or GCP) and containerisation (Docker/Kubernetes).
  • Strong communication skills and ability to work in a collaborative, Agile environment.

Responsibilities

  • Design, develop, and maintain AI-powered applications across transport use cases including operations and traffic management.
  • Integrate large language models, computer vision models, and other AI/ML components into operational workflows.
  • Evaluate inference engines (e.g., vLLM, TensorRT-LLM) and publish performance recommendations balancing speed, cost, and reliability.
  • Build and maintain APIs, microservices, and data pipelines connecting AI capabilities to operational systems.
  • Implement guardrails, observability tooling, and AI safety practices in production.

Skills

Python
LangChain
LlamaIndex
PyTorch
Cloud (AWS/Azure/GCP)
Docker
Kubernetes
CI/CD
Observability

Tools

Docker
Kubernetes
CI/CD tooling

Job description

Land Transport Authority (LTA) Singapore is seeking a Senior/Executive AI Software Developer for the Transport AI Programme. You will design, develop, and maintain AI-powered applications that improve how Singapore's land transport network is sensed, managed, and optimized.

You will collaborate with data scientists, AI architects, and operations teams to translate models into production-grade software, with guardrails and monitoring to ensure safe, reliable operation in public services.

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