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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nebula Future Tech
San Francisco
Estimated Salary
USD 170.000 – USD 240.000
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Are you ready to shape the trajectory of the AI revolution? Nebula Future Tech is seeking a visionary Senior Generative AI Engineer to spearhead our next-generation LLM infrastructure.

We are not just building software; we are architecting the future of human-machine interaction. In this role, you will lead the charge in developing proprietary models that redefine creativity, automation, and intelligence. If you are a technical expert who thrives on solving complex problems and pushing the boundaries of what's possible in 2026, we want you on our team.

Responsibilities

  • Lead the end-to-end development of large-scale foundation models and generative AI systems.
  • Design and implement advanced fine-tuning pipelines using LoRA and QLoRA techniques to maximize efficiency.
  • Optimize model inference latency and throughput for real-time consumer applications.
  • Conduct rigorous research into novel architectures, including diffusion models and transformer variants.
  • Ensure the ethical deployment of AI, focusing on bias mitigation and safety alignment.
  • Collaborate cross-functionally with product, design, and data science teams to deliver high-impact features.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in Deep Learning, NLP, or Generative AI.
  • Expert proficiency in Python, PyTorch, and CUDA.
  • Deep understanding of transformer architectures and attention mechanisms.
  • Proven track record of deploying scalable ML models to production environments (AWS/GCP).
  • Strong leadership skills with the ability to mentor junior engineers and drive technical vision.

Required Skills

Python PyTorch TensorFlow NLP LLMs Machine Learning Deep Learning CUDA AWS GCP

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