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Senior AI Engineer: 2026 Protocol

Horizon Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are building the infrastructure for tomorrow's intelligence. Horizon Systems is currently seeking a visionary Senior AI Engineer to lead the development of our proprietary 2026 Protocol, a next-generation neural architecture designed for autonomous decision-making and real-time data synthesis.


In this role, you will not just write code; you will define the mathematical and architectural foundations of a technology stack that will define the industry standard for the mid-2020s. We offer a competitive compensation package, equity opportunities, and the chance to work in a collaborative, high-performance environment.


Why Join Us?

  • Work on cutting-edge generative AI models.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Opportunity to shape the future of 2026 technology.

Responsibilities

  • Architecture Design: Spearhead the architectural design and implementation of the 2026 Protocol, ensuring scalability, security, and high performance.
  • Model Optimization: Optimize deep learning models for latency and throughput, pushing the boundaries of inference speed.
  • Research & Development: Conduct research into novel neural network architectures and integrate cutting-edge findings into the 2026 stack.
  • Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Prototyping: Rapidly prototype and validate new features for the 2026 Protocol before full-scale deployment.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years leading complex projects.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
  • Knowledge: Deep understanding of transformer architectures, attention mechanisms, and reinforcement learning.
  • Problem Solving: Strong ability to debug complex systems and optimize resource utilization.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Kubernetes Distributed Systems AI Architecture

Ready to Take This Challenge?

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