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Open nowFirst seen 8 hours ago

Forward Deployed Engineer

Red Alpha11 open roles

Where
Singapore
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Your applicationOpen nowForward Deployed EngineerRed Alpha · Singapore

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 8 hours ago

The posting

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.

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