About this role
Summary: Red Alpha Cybersecurity is hiring an Entry-Level AI Engineer to build and deploy AI-powered MVPs, optimize models, and bridge technical research with business applications. The role involves applied AI engineering, model training, and prototyping using modern frameworks and tools.
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
Applied AI Engineering & Prototyping
- 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
Model Training, Optimisation & Evaluation
- 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
- Model types: Transformers, LSTMs, RNNs, GNNs, Heterogeneous GNNs (HGNNs)
- 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.