redalpha
AI Engineer
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
Applied AI Engineering & Prototyping
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Build and deploy AI-powered MVPs together with data science teams
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Design and optimise AI models for practical, high-impact use cases
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Apply advanced AI methods like meta-learning, prompt engineering, and in-context learning
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Leverage tools like VLLM, Nvidia Triton, and Nvidia NIMs to deliver scalable solutions
Model Training, Optimisation & Evaluation
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Train, fine-tune, and evaluate models using industry-standard frameworks
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Benchmark and monitor performance of deployed AI systems
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Optimise AI pipelines for efficiency, speed, and scalability in production environments
Research Translation & Strategic Thinking
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Bridge the gap between technical research and business applications
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Identify how emerging AI approaches can support new products and turnkey solutions
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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)
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Python programming and working with open-source libraries
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Deep learning tools: PyTorch, Hugging Face, PyTorch Geometric
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Model types: Transformers, LSTMs, RNNs, GNNs, Heterogeneous GNNs (HGNNs)
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Concepts: Graph theory, reinforcement learning, agentic AI, AI reasoning
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Infrastructure tools: Nvidia NIMs, Nvidia Triton, VLLM
Mindset We Look For
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Strong problem-solving and critical-thinking skills
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Intellectual curiosity and willingness to dive deep into technical challenges
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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.
