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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to spearhead our research and development for the 2026 era. At Nexus Future Systems, we are building the infrastructure that will define the next decade of artificial intelligence. You will be responsible for architecting scalable, high-performance machine learning models that push the boundaries of what is possible today.

Why Join Us?
We are not just building software; we are defining the future. You will work with a world-class team of researchers, engineers, and product leaders to solve complex problems in generative AI, autonomous systems, and next-gen neural networks. This is a unique opportunity to shape the 2026 roadmap for a global leader in technology.

Responsibilities

  • Architect and deploy advanced machine learning pipelines optimized for the 2026 technology stack and beyond.
  • Lead research initiatives focused on Large Language Models (LLMs) and multimodal AI evolution.
  • Collaborate with cross-functional teams to translate complex AI concepts into scalable, production-ready products.
  • Establish best practices for model evaluation, monitoring, and governance in a rapidly evolving environment.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Drive the technical strategy for 2026 compliance and ethical AI implementation.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field; PhD preferred.
  • 5+ years of professional experience in machine learning, AI, or data science roles.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of deep learning architectures (Transformers, GNNs, RNNs).
  • Experience with MLOps tools, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow MLOps AWS GCP AI Neural Networks LLMs

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