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Information Technology 🏒 Full Time ⭐️ Verified

Senior Artificial Intelligence Engineer

Vertex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Join the Frontier of Intelligence

We are seeking a visionary Senior Artificial Intelligence Engineer to lead the development of next-generation machine learning systems at Vertex Innovations. As a key player in our elite engineering team, you will architect scalable AI solutions, optimize deep learning models, and drive the integration of cutting-edge LLMs into our core products.

In this role, you will bridge the gap between theoretical research and production-grade software, ensuring our AI systems are robust, efficient, and capable of solving complex real-world problems. If you are passionate about the future of AI and want to shape the landscape of technology, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art technology and the latest frameworks.
  • Competitive compensation and comprehensive benefits package.
  • Flexible remote and hybrid work options.
  • Opportunity for rapid career growth in a dynamic environment.

Responsibilities

  • Design, train, and deploy advanced machine learning models, including Transformers and Generative AI architectures.
  • Optimize model inference latency and memory usage for production environments.
  • Collaborate with cross-functional teams (Data Science, Product, and Engineering) to translate business requirements into technical AI solutions.
  • Implement and maintain MLOps pipelines using tools like Kubernetes, Docker, and MLflow.
  • Conduct rigorous code reviews, performance testing, and model validation.
  • Stay abreast of the latest research in AI/ML to innovate and improve existing systems.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field (or equivalent practical experience).
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Extensive experience with Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization technologies.
  • Experience with distributed training and high-performance computing.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS GCP Docker Kubernetes MLOps SQL Agile

Ready to Take This Challenge?

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