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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are at the precipice of a technological revolution. Nexus Horizon is seeking a visionary Senior AI Engineer to define the future of our 2026 roadmap. If you are passionate about building cutting-edge Artificial Intelligence solutions that reshape industries, this is your opportunity to lead the charge.

In this role, you will bridge the gap between theoretical machine learning and high-performance production systems. You will work directly with C-level executives to architect solutions that are not only scalable but ethically sound and future-proof.

Why Join Us?

  • Work on projects that define the industry standard for 2026 and beyond.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a premium office in the heart of San Francisco.

Responsibilities

  • Architect and deploy scalable AI/ML infrastructure designed to support our 2026 growth targets.
  • Lead the research and development of Large Language Models (LLMs) and generative AI applications.
  • Collaborate with cross-functional teams to integrate AI solutions into existing SEO and data strategies.
  • Mentor junior engineers and establish best practices for code quality and model governance.
  • Optimize model latency and accuracy for real-time decision-making systems.
  • Conduct rigorous testing and validation to ensure system reliability and security.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of experience in machine learning engineering or data science.
  • Proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong understanding of cloud architectures (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Experience with NLP, computer vision, or reinforcement learning is highly preferred.
  • Demonstrated ability to translate complex technical concepts into business value.

Required Skills

Python Machine Learning Deep Learning NLP TensorFlow PyTorch AWS Docker Kubernetes Data Architecture Leadership

Ready to Take This Challenge?

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