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Senior AI Engineer (2026 Protocol)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Nexus Horizon is seeking a visionary Senior AI Engineer (2026 Protocol) to architect the next generation of intelligent systems. In this pivotal role, you will be at the forefront of developing scalable, ethical, and highly autonomous AI solutions designed for the year 2026 and beyond. We are not merely building software; we are defining the future of human-machine interaction.

Our mission is to revolutionize the way industries leverage predictive analytics and autonomous decision-making. As a key member of our elite R&D division, you will collaborate with world-class engineers and data scientists to deploy models that exceed industry benchmarks and set new standards for the sector.

Responsibilities

  • Design and implement scalable machine learning pipelines for autonomous agents and smart infrastructure.
  • Conduct cutting-edge research in Natural Language Processing (NLP) and Computer Vision to advance our 2026 Roadmap.
  • Optimize neural network architectures for real-time inference on edge devices and high-performance cloud clusters.
  • Mentor junior engineers and conduct rigorous code reviews to ensure architectural integrity and scalability.
  • Partner with cross-functional product teams to translate complex technical requirements into robust architectural blueprints.
  • Ensure all AI models adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • 7+ years of professional experience in AI/ML, Deep Learning, or Robotics with a proven track record of delivery.
  • Proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience with large language models (LLMs) and generative AI architectures.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python TensorFlow PyTorch AWS Kubernetes NLP Computer Vision Robotics System Design Leadership

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