Backend Engineer: AI Infrastructure & Scale

TechKnowledgey Pte Ltd; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

TechKnowledgey Pte Ltd is seeking a backend-focused engineer to build and scale the infrastructure behind AI-driven products. The role spans application services, model integration, and distributed systems with a focus on reliable production software.

You will turn AI capabilities into dependable backend services that support real-world usage across multiple product surfaces. The position emphasizes delivering and iterating quickly within a distributed, production-focused environment.

Qualifications

• Proven backend development experience with scalable services.
• Strong fundamentals in software engineering.
• Experience with AI/ML systems, especially LLM-based apps and embeddings.
• Experience with distributed architectures and production troubleshooting.
• Hands-on approach prioritizing fast delivery and iterative improvements.
• Ability to balance quality, performance, scalability, and ops considerations.

Responsibilities

• Develop and maintain backend services supporting AI-enabled applications.
• Build architectures and workflows around machine learning models.
• Integrate LLMs, embeddings, and other AI capabilities.
• Improve system performance via caching, batching, async processing, and streaming.
• Establish monitoring, logging, alerting, and operational practices.
• Troubleshoot issues across distributed services and production.
• Collaborate with engineering and AI teams to ship capabilities to production.

Skills

Backend development

Distributed systems

AI/ML integration

Performance optimization

Tools

Python

Node.js

PyTorch

Kubernetes

Docker

SQL/NoSQL databases

Cloud platforms

Job description

TechKnowledgey Pte Ltd is seeking a backend-focused engineer to build and scale the infrastructure behind AI-driven products. The role spans application services, model integration, and distributed systems with a focus on reliable production software.

You will turn AI capabilities into dependable backend services that support real-world usage across multiple product surfaces. The position emphasizes delivering and iterating quickly within a distributed, production-focused environment.