Backend Engineer (Recommendation System/ LLM)

Ambition Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Ambition Singapore is partnering with a fast-growing AI-driven fintech company building next-generation digital products for the financial services industry. They leverage machine learning and modern cloud technologies to deliver highly personalized user experiences at scale.

We are looking for an experienced Backend Engineer to design, build, and scale the backend infrastructure powering AI recommendation systems.

Qualifications

• 5+ years of backend software engineering experience.
• Experience building recommendation systems.
• Experience serving ML models in production using Kubernetes, Docker, Ray Serve.
• Strong knowledge of distributed systems and scalable backend architecture.
• Familiarity with MLOps and monitoring tools such as Prometheus, Grafana, or Datadog.
• Experience with recommendation pipelines, feature stores, model serving, ranking engines, or A/B testing is a plus.
• Knowledge of LLM inference optimization (e.g. TensorRT, Flash Attention, Quantization) is advantageous.
• Ability to work independently and make sound technical decisions.

Responsibilities

• Design, build, and scale the backend infrastructure powering AI recommendation systems.
• Work on production-grade ML serving platforms, optimize model performance.
• Develop highly available, low-latency systems.

Skills

Backend engineering

Recommendation systems

Distributed systems

Independent work

ML model serving

Tools

Kubernetes

Docker

Ray Serve

Prometheus

Grafana

Datadog

Job description

Our client is a fast-growing AI-driven fintech company building next-generation digital products for the financial services industry. They leverage machine learning and modern cloud technologies to deliver highly personalized user experiences at scale.

We're looking for an experienced Backend Engineer to design, build, and scale the backend infrastructure powering AI recommendation systems. You'll work on production-grade ML serving platforms, optimize model performance, and develop highly available, low-latency systems.

Requirements

• 5+ years of backend software engineering experience.
• Strong experience building recommendation systems.
• Experience serving ML models in production using Kubernetes, Docker, Ray Serve.
• Strong knowledge of distributed systems and scalable backend architecture.
• Familiarity with MLOps and monitoring tools such as Prometheus, Grafana, or Datadog.
• Experience with recommendation pipelines, feature stores, model serving, ranking engines, or A/B testing is a plus.
• Knowledge of LLM inference optimization (e.g. TensorRT, Flash Attention, Quantization) is advantageous.
• Ability to work independently and make sound technical decisions.

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D |Licence Number: 10C5117 |EA Registration Number: R23115372