Full Time AI Backend Engineer Jobs, Salary up to SGD 15,000 in BASE CAMP DIGITAL PTE. LTD. - Maukerja

Job Summary:

As an AI Backend Engineer, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience.

You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.

Job Responsibilities:

• Build and operate backend systems that serve AI-powered features in production.

• Design inference pipelines, orchestration layers, and service boundaries around models.

• Own production concerns: monitoring, logging, alerting, and incident response.

• Optimize latency and throughput across inference, caching, batching, and streaming.

Job Requirements:

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behaviour.

Tech Stack:

• Python
• Node.js
• Pytorch
• OpenAI / Anthropic / open-source LLMs
• SQL & noSQL
• Kubernetes
• Docker

Base Camp Digital, founded in Singapore in 2018 (formerly Ploy Asia), is a leading IT Solutions and Delivery company operating across Asia, with offices in Singapore, Hong Kong, Malaysia, and Thailand.

We provide targeted expertise for successful project outcomes tailored to modern technological demands.

Our core delivery expertise focuses on high-growth areas:
Enterprise Software Implementation: Delivery and support for major ERP/CRM systems, including deep platform expertise in:
SAP, Salesforce, Oracle, Workday, Pega, Microsoft, and ServiceNow.
Bespoke Software Development: Custom application development using key technologies like Java, .NET, and open-source stacks. Inluding Software Testing Manual and Automation.
Data, Analytics, and AI: Services spanning Data Engineering, Data Analysis, and advanced Artificial Intelligence (AI) solutions (Machine Learning, Computer Vision, LLMs).
Infrastructure Services: Full-range support, from basic desktop to complex Data Centre management.