Senior AI Applications Engineer - Backend & Integrations

Land Transport Authority (LTA); Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

Land Transport Authority (LTA) in Singapore is seeking a Senior Developer, AI Applications to design and build AI features for the OneMotoring Digital Shopfront, improving user interactions.

You will implement secure API integrations, embedding AI components, and build retrieval pipelines with embeddings and semantic search across backend systems.

The role rewards hands-on owners who drive production-grade reliability, AI safety, and cross‑team collaboration to deliver meaningful value.

Qualifications

• 5+ years experience as backend or full-stack engineer.
• At least 2 years building applied AI features used by real users.
• Hands-on experience with LLM APIs including prompt design and semantic search.
• Understanding retrieval-augmented generation concepts and when to use them.
• Security-minded engineering with OWASP and zero-trust principles.

Responsabilités

• Build secure integrations: design and implement API connections to data vaults and legacy systems.
• Embed AI in applications: develop AI-enabled components for digital touchpoints and services.
• Engineer the retrieval layer: embeddings, semantic search, and retrieval pipelines.
• Review vendor AI approaches: ensure accuracy, security, and maintainability.
• Make AI reliable in production: monitoring, guardrails, fallbacks.
• Work across the platform: align AI features with wider architecture.
• Own features end to end: measure usage and refine AI pipelines.

Connaissances

Backend engineering

Full-stack

LLM APIs

Semantic search

Python

Frontend framework

API gateways

Security fundamentals

System integration

AI safety

Description du poste

Land Transport Authority (LTA) in Singapore is seeking a Senior Developer, AI Applications to design and build AI features for the OneMotoring Digital Shopfront, improving user interactions.

You will implement secure API integrations, embedding AI components, and build retrieval pipelines with embeddings and semantic search across backend systems.

The role rewards hands-on owners who drive production-grade reliability, AI safety, and cross‑team collaboration to deliver meaningful value.