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Senior AI Engineer (2026 Visionary)

NextGen Logic
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite research team in San Francisco. At NextGen Logic, we are building the technological backbone for the year 2026 and beyond. We are not just adapting to the future; we are defining it. In this pivotal role, you will lead the development of next-generation artificial intelligence systems, focusing on large language models, autonomous agents, and scalable generative AI infrastructure.

If you are passionate about pushing the boundaries of what is possible in machine learning and want to work in an environment that rewards innovation and technical excellence, we want to hear from you.

Responsibilities

  • Design, train, and deploy cutting-edge machine learning models, including transformers and generative AI architectures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate complex requirements into robust AI solutions.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Research and implement novel algorithms to improve model accuracy and efficiency.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Stay abreast of the latest advancements in AI research to integrate state-of-the-art techniques into our production systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning, deep learning, or a similar technical role.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience working with NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AWS GCP Docker Kubernetes Natural Language Processing Data Science

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