AI Engineer

Red Alpha; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

A cybersecurity firm in Singapore is hiring AI Engineers to develop and optimize real-world AI applications. This role involves building AI-powered MVPs, leveraging advanced methodologies, and collaborating with data science teams. Candidates should possess a foundational knowledge of programming and deep learning tools, with a mindset geared towards problem-solving and strategic thinking. Selected candidates will undergo a 12-week training program before joining full-time for three years.

Benefits

12-week fully sponsored on-job training with allowance

Opportunity for full-time role after training

Qualifications

• Preferred technical skills in Python and open-source libraries.
• Knowledge of deep learning tools like PyTorch and Hugging Face.
• Understanding of AI concepts such as graph theory and reinforcement learning.

Responsibilities

• Build and deploy AI-powered MVPs with data science teams.
• Design and optimize AI models for practical applications.
• Bridge technical research with business applications.

Skills

Python programming

Deep learning tools: PyTorch

Graph theory

Reinforcement learning

Tools

VLLM

Nvidia Triton

Nvidia NIMs

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.