Remote

Foundation Model Engineer

Engineeringfull timemid level$85k-$140k
AI ScreenedRemote B2BEU Talent Pool1 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

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About This Role

We're seeking a Foundation Model Engineer to build and optimize large language models powering our AI-first recruiting platform. You'll work on model fine-tuning, prompt engineering, and inference optimization to deliver cutting-edge AI capabilities for enterprise talent acquisition. This is a hands-on role where you'll collaborate directly with our product and infrastructure teams to deploy scalable foundation models in production.

Requirements

  • Demonstrate 3+ years of experience with deep learning frameworks (PyTorch, TensorFlow) and NLP model development
  • Proficiency with foundation models, transformer architectures, and techniques like LoRA, QLoRA, or quantization
  • Experience fine-tuning or adapting LLMs for specific domains or tasks
  • Strong Python development skills with production-level code quality
  • Understanding of model inference optimization, latency reduction, and cost efficiency
  • Familiarity with vector databases, retrieval-augmented generation (RAG), or semantic search systems

Required Skills

Large Language ModelsFine-tuning & Prompt EngineeringPyTorchHugging Face TransformersModel OptimizationCUDA / GPU ComputingLLM APIsRAG Systems