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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Zenith Tech Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the future of artificial intelligence? At Zenith Tech Solutions, we are on a mission to revolutionize how humans interact with intelligent systems. We are looking for a visionary Senior AI Engineer to join our elite R&D division in San Francisco. You will work on cutting-edge Large Language Models (LLMs) and generative AI solutions that drive our next-generation products.

Why Join Us?

  • Impactful Work: Build AI systems that directly impact millions of users globally.
  • Top-Tier Team: Collaborate with world-class researchers and engineers.
  • Future-Ready: Work with the latest tools in the AI stack (PyTorch, TensorFlow, Hugging Face).
  • Competitive Package: Comprehensive benefits, equity, and continuous learning opportunities.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Optimize AI inference pipelines for speed and cost-efficiency.
  • Collaborate with data scientists to refine datasets and improve model accuracy.
  • Research and implement state-of-the-art algorithms in NLP and Computer Vision.
  • Conduct rigorous testing, validation, and performance tuning of production models.
  • Mentor junior engineers and contribute to technical documentation and architecture reviews.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of deep learning architectures (Transformers, RNNs, CNNs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP Deep Learning MLOps AWS GCP

Ready to Take This Challenge?

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