Red Alpha Cybersecurity is hiring aspiring
AI Engineers
who want to work on real-world AI applications, from model design and optimisation 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 the 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-the-job training with allowance, before being deployed full-time for 3 years.
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