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AI Engineer (2026 Vision) - San Francisco, CA

Zai Global Technologies
San Francisco
Estimated Salary
USD 140.000 – USD 220.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Architect the Future of Intelligence.

Zai Global Technologies is seeking a visionary AI Engineer to lead our 2026 strategic roadmap. We are building the next generation of generative models and autonomous agents, and we need a technical expert who can bridge the gap between theoretical research and production-scale deployment.

Our mission is to redefine what is possible in 2026 and beyond. You will work in a high-performance environment that values innovation, scalability, and ethical AI development. If you are passionate about pushing the boundaries of what AI can achieve, this is the opportunity for you.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs).
  • Competitive salary and equity package.
  • Flexible remote-first culture.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Model Development: Design, train, and fine-tune large-scale transformer models using PyTorch and TensorFlow.
  • Production Deployment: Implement MLOps pipelines to ensure reliable and scalable deployment of AI models to cloud infrastructure.
  • Performance Optimization: Continuously optimize model inference latency and accuracy to meet real-time business requirements.
  • Research & Innovation: Stay abreast of the latest AI research papers and integrate novel methodologies into our product stack.
  • Collaboration: Partner with data scientists and software engineers to integrate AI capabilities into core business applications.

Qualifications

  • Experience: 5+ years of professional experience in AI/ML engineering or a related field.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical discipline.
  • Programming: Strong proficiency in Python and deep understanding of data structures and algorithms.
  • Tools: Extensive experience with MLOps tools (MLflow, Kubeflow), containerization (Docker), and cloud platforms (AWS, GCP, or Azure).
  • Specialization: Proven track record in NLP, Computer Vision, or Reinforcement Learning.

Required Skills

Python PyTorch TensorFlow Machine Learning MLOps AWS GCP NLP Deep Learning

Ready to Take This Challenge?

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