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Information Technology 🏢 Full Time ⭐️ Verified

AI/LLM Architect - 2026 Visionary

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a world-class AI/LLM Architect to spearhead the development of next-generation generative intelligence systems. As we look toward 2026, the boundaries of artificial general intelligence are expanding, and we need a pioneer to build the infrastructure that powers the future.

In this role, you will not just write code; you will architect the cognitive backbone of our products. You will be responsible for training state-of-the-art Large Language Models, optimizing inference engines for massive scale, and ensuring our AI solutions are ethical, robust, and transformative.

Join a team of elite engineers, researchers, and futurists dedicated to solving humanity's most complex challenges through advanced machine learning.

Responsibilities

  • Design and deploy scalable machine learning pipelines for LLM training, fine-tuning, and evaluation.
  • Optimize model inference for real-time applications, ensuring sub-millisecond latency.
  • Collaborate with product teams to integrate advanced AI capabilities into consumer and enterprise solutions.
  • Implement rigorous testing and validation frameworks to ensure model accuracy and safety.
  • Stay ahead of the curve on emerging AI paradigms, contributing to our research roadmap.
  • Lead code reviews and mentor junior engineers in best practices for deep learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
  • 5+ years of experience in software engineering with a focus on machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (GPT, BERT, Llama).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong background in statistical modeling and algorithm optimization.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow GPT Generative AI Cloud Computing Kubernetes AWS Research

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