AI Engineer: Build MVPs & Scalable AI

Red Alpha; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

Red Alpha Cybersecurity is hiring aspiring AI Engineers who want to work on real-world AI applications, from model design and optimization to rapid MVP development. You'll be part of a team building cutting-edge AI capabilities that power next-gen products across industries.

All selected candidates will undergo a 12-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.

Qualifications

• Python programming and working with open-source libraries.
• Deep learning tools: PyTorch, Hugging Face, PyTorch Geometric.
• Concepts: Graph theory, reinforcement learning, agentic AI, AI reasoning.
• Infrastructure tools: Nvidia NIMs, Nvidia Triton, VLLM.

Responsibilities

• Build and deploy AI-powered MVPs together with data science teams
• Design and optimise AI models for practical, high-impact use cases
• Apply advanced AI methods like meta-learning, prompt engineering, and in-context learning
• Leverage tools like VLLM, Nvidia Triton, and Nvidia NIMs to deliver scalable solutions
• Train, fine-tune, and evaluate models using industry-standard frameworks
• Benchmark and monitor performance of deployed AI systems
• Optimise AI pipelines for efficiency, speed, and scalability in production environments
• Research Translation & Strategic Thinking
• Bridge the gap between technical research and business applications
• Identify how emerging AI approaches can support new products and turnkey solutions
• Support end-to-end prototyping and deployment of POCs involving LLMs, computer vision, and graph-based AI

Skills

Python

Problem solving

Critical thinking

Tools

VLLM

Nvidia Triton

Nvidia NIMs

PyTorch

Hugging Face

PyTorch Geometric

Job description

Red Alpha Cybersecurity is hiring aspiring AI Engineers who want to work on real-world AI applications, from model design and optimization to rapid MVP development. You'll be part of a team building cutting-edge AI capabilities that power next-gen products across industries.

All selected candidates will undergo a 12-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.