AI Engineer

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.

What You’ll Be Doing

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

What You Should Know or Be Eager to Learn

Preferred Technical Skills (not mandatory)

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

Mindset We Look For

Strong problem-solving and critical-thinking skills

Intellectual curiosity and willingness to dive deep into technical challenges

Ability to balance innovation with practical business needs

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