Backend Engineer (Python - AI Systems)

JAC RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

The client is an innovative AI Fintech company in Singapore seeking a Backend Engineer to develop and maintain production-grade backend systems powering AI-powered applications. You will design inference pipelines, model orchestration, and robust APIs while ensuring reliability at scale.

Required are strong backend skills, experience with high-throughput distributed systems, and familiarity with AI/ML serving architectures.

Qualifications

• Strong backend engineering experience.
• Proven experience designing and operating high-throughput, low-latency distributed systems.
• Familiarity with AI/ML serving architectures, including LLMs, embeddings, and multimodal AI systems.
• Experience debugging, monitoring, and optimizing complex distributed systems under production workloads.
• Strong understanding of API design, system architecture, and cloud-native development practices.
• Demonstrated ownership mindset with the ability to independently drive projects from design through deployment and optimization.
• Comfortable working in fast-paced environments and making pragmatic engineering decisions.

Responsibilities

• Develop and maintain production-grade backend systems supporting AI-powered applications.
• Design and optimize inference pipelines, model orchestration frameworks, and service architectures.
• Own operational excellence across monitoring, logging, alerting, troubleshooting, and incident management.
• Improve system performance through optimization of inference workloads, caching strategies, batching mechanisms, and streaming architectures.
• Build robust, scalable APIs that enable seamless integration between frontend applications, machine learning systems, and external services.
• Continuously enhance platform reliability, scalability, and observability based on production feedback and usage patterns.

Skills

Backend engineering

Distributed systems

AI/ML serving architectures

Production debugging/monitoring

Cloud-native development

Ownership mindset

Tools

Python

Node.js

PyTorch

OpenAI/Anthropic ecosystems

SQL

NoSQL

Kubernetes

Docker

Job description

COMPANY OVERVIEW

The client is an innovative AI Fintech company on a mission to transform how people work by creating proactive digital assistants that do more than just respond to prompts. By combining AI reasoning, long-term context, and automation, they help users complete everyday tasks faster, smarter, and with less manual effort.

JOB RESPONSIBILITIES

• Develop and maintain production-grade backend systems supporting AI-powered applications.
• Design and optimize inference pipelines, model orchestration frameworks, and service architectures.
• Own operational excellence across monitoring, logging, alerting, troubleshooting, and incident management.
• Improve system performance through optimization of inference workloads, caching strategies, batching mechanisms, and streaming architectures.
• Build robust, scalable APIs that enable seamless integration between frontend applications, machine learning systems, and external services.
• Continuously enhance platform reliability, scalability, and observability based on production feedback and usage patterns.

JOB REQUIREMENTS

• Strong backend engineering experience building and supporting production-grade applications.
• Proven experience designing and operating high-throughput, low-latency distributed systems.
• Familiarity with AI/ML serving architectures, including Large Language Models (LLMs), embeddings, and multimodal AI systems.
• Experience debugging, monitoring, and optimizing complex distributed systems under production workloads.
• Strong understanding of API design, system architecture, and cloud-native development practices.
• Demonstrated ownership mindset with the ability to independently drive projects from design through deployment and optimization.
• Comfortable working in fast-paced environments and making pragmatic engineering decisions.

TECHNICAL SKILLS

• Python
• Node.js
• PyTorch
• OpenAI, Anthropic, and open-source LLMecosystems
• SQL and NoSQL databases
• Kubernetes
• Docker

Working Location: Singapore