Applied AI Engineer: MVPs, Scalable Models & Impact

Red Alpha Cybersecurity; Singapore; On-site; SGD 90,000 - 130,000; Full time

Benefits offered by this job

On-the-job training

Job summary

Red Alpha Cybersecurity is seeking aspiring AI Engineers to work on real-world AI applications, from model design to MVP development. You will join a team building cutting-edge capabilities powering next-gen products across industries.

This role offers hands-on training: a 12-week fully sponsored program with allowance, followed by deployment as a full-time engineer for three years. You will collaborate with data science teams to build scalable AI systems.

Qualifications

• Proficiency in Python and open-source libraries
• Experience with DL tools: PyTorch, Hugging Face, PyTorch Geometric
• Knowledge of graph theory, reinforcement learning, and AI reasoning
• Familiarity with Nvidia NIMs, Triton, and VLLM

Responsibilities

• Build and deploy AI-powered MVPs with data science teams
• Design and optimise AI models for high-impact use cases
• Apply meta-learning, prompt engineering, and in-context learning
• Leverage tools like Nvidia NIMs, Nvidia Triton, and VLLM to deliver scalable solutions
• Train, fine-tune, and evaluate models using industry-standard frameworks
• Benchmark and monitor the performance of deployed AI systems
• Optimise AI pipelines for efficiency, speed, and scalability in production environments

Skills

Python programming

Deep learning

PyTorch

Hugging Face

Graph theory

Reinforcement learning

AI reasoning

Agentic AI

Tools

NVIDIA NIMs

NVIDIA Triton

VLLM

PyTorch Geometric

Hugging Face Transformers

Job description

Red Alpha Cybersecurity is seeking aspiring AI Engineers to work on real-world AI applications, from model design to MVP development. You will join a team building cutting-edge capabilities powering next-gen products across industries.

This role offers hands-on training: a 12-week fully sponsored program with allowance, followed by deployment as a full-time engineer for three years. You will collaborate with data science teams to build scalable AI systems.