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Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Engineer (2026 Roadmap)

2026 Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are 2026 Dynamics, a forward-thinking technology firm pioneering the next generation of autonomous systems and generative AI. We are looking for a visionary Principal AI Engineer to lead our engineering efforts in defining the technical roadmap for the year 2026. If you are passionate about pushing the boundaries of machine learning, quantum integration, and neural architecture, we want to hear from you.

Why Join Us?
Work on cutting-edge technology that will define the future of enterprise automation. Enjoy a competitive salary, equity package, and the flexibility of a hybrid work model from our San Francisco headquarters.

Responsibilities

  • Lead the architectural design and implementation of scalable AI/ML infrastructure for our flagship 2026 roadmap.
  • Develop and fine-tune state-of-the-art Large Language Models (LLMs) and Generative Adversarial Networks (GANs).
  • Collaborate with cross-functional teams of data scientists, quantum researchers, and product managers to translate business requirements into technical solutions.
  • Optimize deep learning models for low-latency, high-throughput environments in production.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends, specifically focusing on the convergence of classical AI and quantum computing by 2026.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of professional experience in software engineering and machine learning.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Deep experience with NLP, computer vision, and reinforcement learning algorithms.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading engineering teams and delivering complex projects on time.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS Docker Kubernetes SQL Leadership

Ready to Take This Challenge?

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