Backend Engineer (Python - AI Systems)

JAC Recruitment Pte Ltd; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

JAC Recruitment Pte. Ltd. is seeking a backend engineer to build and maintain production-grade systems powering AI-enabled applications in Singapore. You will design high-throughput, low-latency distributed services and oversee architectural decisions that enable seamless integration with frontend and ML systems.

The role emphasizes ownership, resilience, and cloud-native development in a fast-paced fintech/AI environment, with a focus on performance, monitoring, and reliability.

Qualifications

• 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 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

API design

Cloud-native

Monitoring & debugging

AI/ML serving

Ownership mindset

Tools

Kubernetes

Docker

SQL

NoSQL

PyTorch

Job description

COMPANY OVERVIEW

p>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 LLM ecosystems


• SQL and NoSQL databases


• Kubernetes


• Docker

Working Location: Singapore

Syahirah Binte Ahmad Ja'afar (R22105331)
JAC Recruitment Pte. Ltd. (90C3026)

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