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Information Technology 🏢 Full Time ⭐️ Verified

Senior LLM Architect - Generative AI

Nexus Horizon
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Intelligence

Nexus Horizon is pioneering the next generation of Artificial General Intelligence (AGI) systems. We are seeking a visionary Senior LLM Architect to lead the development of our proprietary models, which are designed to define the standard for enterprise-grade AI by 2026. You will be instrumental in building scalable, efficient, and ethical large language models that solve complex real-world problems.

Why You’ll Thrive Here

Impactful Work: Directly influence the trajectory of AI development in a high-growth environment.

World-Class Team: Collaborate with industry leaders in Deep Learning, NLP, and Systems Engineering.

Top-Tier Compensation: Competitive salary, comprehensive benefits, and meaningful equity grants.

Responsibilities

  • Architect and optimize state-of-the-art Transformer architectures for training and inference.
  • Lead the research and implementation of Reinforcement Learning from Human Feedback (RLHF) pipelines.
  • Design efficient data pipelines for synthetic data generation and pre-training corpora.
  • Ensure model scalability, latency optimization, and cost-efficiency in cloud environments.
  • Collaborate cross-functionally with product managers and engineers to integrate AI agents into production workflows.
  • Establish best practices for model safety, bias mitigation, and explainability.

Qualifications

  • M.S. or Ph.D. in Computer Science, Mathematics, or a related technical field.
  • 8+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert-level proficiency in Python, PyTorch, and distributed computing frameworks.
  • Deep understanding of Transformer models, attention mechanisms, and tokenization strategies.
  • Experience deploying models at scale on AWS or GCP using Kubernetes.
  • Strong track record of publishing research or shipping high-impact ML products.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) Natural Language Processing (NLP) Deep Learning AWS Kubernetes Reinforcement Learning Distributed Systems

Ready to Take This Challenge?

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