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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the next generation of artificial intelligence? Nexus Horizon is seeking a visionary Senior Generative AI Engineer to lead our cutting-edge R&D division. We are building the core infrastructure for 2026, pushing the boundaries of Large Language Models (LLMs) and multimodal AI systems. If you thrive in a fast-paced, high-impact environment and want to define the future of intelligent software, this is your opportunity.


Why Join Us?
We offer competitive compensation, equity packages, and a fully remote-first culture that celebrates autonomy and innovation. Work with the brightest minds in Silicon Valley.

Responsibilities

  • Design, train, and deploy state-of-the-art Large Language Models (LLMs) and diffusion models.
  • Optimize model inference latency and cost through quantization, pruning, and distillation techniques.
  • Collaborate with cross-functional teams of data scientists, researchers, and product managers to integrate AI capabilities into consumer products.
  • Implement robust evaluation pipelines to measure model performance, accuracy, and bias.
  • Research and implement novel techniques in prompt engineering and reinforcement learning from human feedback (RLHF).
  • Ensure scalability, security, and compliance of AI systems handling sensitive user data.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).
  • 5+ years of professional experience in deep learning, NLP, or generative AI.
  • Proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of transformer architectures (BERT, GPT, T5, etc.).
  • Experience with MLOps tools (Docker, Kubernetes, MLflow, AWS SageMaker).
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow NLP LLM Machine Learning Deep Learning MLOps Docker AWS

Ready to Take This Challenge?

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