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Information Technology 🏒 Full Time ⭐️ Verified

AI Engineer 2026

Nexus Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the digital future? Nexus Dynamics is seeking a visionary AI Engineer 2026 to spearhead our initiatives for the upcoming era of artificial intelligence. We are building systems that don't just react, but predict and evolve autonomously. You will work on cutting-edge Large Language Models (LLMs), computer vision pipelines, and next-gen autonomous agents that will define the landscape of technology in 2026 and beyond.

At Nexus Dynamics, we believe in pushing boundaries. You will be part of a high-performing team focused on scalability, ethical AI, and creating products that impact millions. If you have a passion for deep learning and a desire to shape the future, we want to hear from you.

Responsibilities

  • Architect & Deploy: Design, train, and deploy state-of-the-art machine learning models and neural networks.
  • Optimization: Continuously optimize model performance, latency, and accuracy for production environments.
  • Innovation: Research and implement novel algorithms to solve complex, unstructured problems.
  • Collaboration: Work closely with data scientists, engineers, and product managers to define technical requirements.
  • Maintenance: Ensure the reliability, security, and scalability of our AI infrastructure.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, software development, or data science.
  • Programming: Strong proficiency in Python, PyTorch, or TensorFlow.
  • Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Problem Solving: Demonstrated ability to tackle ambiguous problems with creative engineering solutions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AWS Docker Kubernetes Natural Language Processing Computer Vision

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