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Senior AI Engineer - Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 160.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to shape the future?
Nexus Horizon Systems is at the forefront of technological evolution, and we are currently seeking a visionary Senior AI Engineer to spearhead the technical architecture of Project 2026. This is a once-in-a-generation opportunity to define the intelligence layer for our next-generation autonomous systems.


In this pivotal role, you will not just write code; you will architect the cognitive framework that powers our global infrastructure. If you are passionate about pushing the boundaries of neural networks and ethical AI, we want to hear from you.

Responsibilities

  • Lead the end-to-end design and deployment of advanced deep learning models for Project 2026.
  • Architect scalable neural frameworks capable of handling real-time data streams.
  • Collaborate with cross-functional teams (Data Science, Security, Product) to integrate AI solutions seamlessly.
  • Optimize algorithmic efficiency to ensure low-latency performance in high-stakes environments.
  • Mentor junior engineers and establish best practices for AI model training and validation.
  • Ensure compliance with global data privacy regulations and ethical AI standards.
  • Conduct cutting-edge research to stay ahead of industry trends in generative AI and reinforcement learning.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in software engineering with a focus on AI/ML.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade machine learning models.
  • Experience with Large Language Models (LLMs) and prompt engineering is highly preferred.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Cloud Computing Docker Kubernetes Agile LLMs

Ready to Take This Challenge?

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