Associate AI Engineer

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Are you passionate about open-source LLMs like LLaMA, DeepSeek, or Qwen? We're on the lookout for an Associate AI Engineer eager to work hands-on with cutting-edge models, conduct exploratory research, and deliver impactful AI-driven products.


What You'll Be Doing

  • Working with open-source LLMs (DeepSeek, Qwen, LLaMA, etc.) and deploying them both locally and in the cloud
  • Fine-tuning models with domain-specific knowledge
  • Implementing model distillation and quantization
  • Preparing and managing high-quality training datasets
  • Designing scalable and efficient ML architectures
  • Engaging in traditional ML model development and training
  • Splitting your time 50/50 between exploratory R&D and delivering production-grade solutions


Required Skills

  • Strong proficiency in Python with hands-on AI/ML experience
  • Experience deploying models on local hardware (NVIDIA GPUs or CPU-only setups)
  • Comfortable in Linux environments and using tools like Docker, Git, and other basic DevOps tools
  • Ability to read research papers and rapidly prototype experimental ideas


Bonus Skills

  • Experience with transformer-based models using Hugging Face Transformers, PyTorch, or TensorFlow
  • Understanding of prompt engineering, fine-tuning strategies (LoRA, PEFT, QLoRA), and evaluation techniques
  • Familiarity with quantization and model compression (bitsandbytes, GGML, GPTQ)


How to Apply

Please send us:

Links to GitHub repositories, fine-tuning notebooks, or any LLM projects you’ve worked on (Please add links in your CV)

A short paragraph about your favorite recent LLM release and why it excites you



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