Backend Engineer (Python - AI Systems)

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.

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 LLM ecosystems
  • SQL and NoSQL databases
  • Kubernetes
  • Docker

Working Location: Singapore

See also

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