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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/LLM Engineer

Zai Neural Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join the Future of Intelligence. Zai Neural Systems is pioneering the next generation of artificial general intelligence. We are seeking a visionary Senior AI/LLM Engineer to architect and deploy cutting-edge Large Language Models that will redefine human-computer interaction.

In this role, you will work at the intersection of research and production engineering, optimizing model performance, accuracy, and scalability. If you are passionate about building systems that understand and generate human-like text, we want to hear from you.

What You'll Do:

  • Architect and fine-tune state-of-the-art Large Language Models (LLMs) for enterprise applications.
  • Design efficient inference pipelines and reduce model latency for real-time deployments.
  • Collaborate with product and design teams to translate complex AI capabilities into user-centric features.
  • Implement robust MLOps strategies for continuous model monitoring, evaluation, and retraining.
  • Conduct research on emerging NLP architectures, including Transformer models and attention mechanisms.

Requirements:

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (or equivalent extensive experience).
  • 5+ years of professional experience in Natural Language Processing (NLP) and Deep Learning.
  • Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of transformer architectures, tokenization, and prompt engineering.
  • Experience deploying ML models to production using cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Benefits:

  • Competitive salary and equity package.
  • Comprehensive health, dental, and vision insurance.
  • Unlimited PTO and flexible remote/hybrid work options.
  • Access to the latest GPUs and computing resources.

Responsibilities

  • Design, train, and fine-tune state-of-the-art Large Language Models (LLMs).
  • Optimize inference latency and accuracy for real-time applications.
  • Collaborate with cross-functional teams to integrate AI solutions into production pipelines.
  • Conduct research on emerging NLP architectures and ethical AI practices.
  • Implement robust MLOps pipelines for model monitoring and versioning.

Qualifications

  • Master’s or PhD in Computer Science, AI, or related field (or equivalent experience).
  • 5+ years of experience in Machine Learning and NLP.
  • Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow).
  • Strong understanding of transformer architectures and attention mechanisms.
  • Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Large Language Models LLMs GPT Transformers MLOps AWS Docker Machine Learning Engineering Deep Learning

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