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Senior Generative AI Engineer (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future of Artificial Intelligence? Nexus Horizon Technologies is on a mission to pioneer breakthrough solutions for the year 2026 and beyond. We are seeking a visionary Senior Generative AI Engineer to lead our research division, focusing on next-generation Large Language Models (LLMs) and autonomous agent systems.

In this role, you will not just write code; you will define the technical roadmap that positions us as market leaders in the AI revolution. If you are passionate about pushing the boundaries of what is possible in machine learning and are eager to leave a legacy in the tech industry, we want to hear from you.

Responsibilities

  • Lead Model Architecture: Design, train, and fine-tune large-scale generative models tailored for enterprise applications.
  • Optimization & Scalability: Engineer efficient inference pipelines capable of handling real-time, high-volume data streams.
  • Roadmap Strategy: Contribute directly to our 2026 product roadmap, identifying emerging trends in AI ethics and efficiency.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate theoretical research into production-ready features.
  • Research Publication: Publish high-impact papers and patents to establish Nexus Horizon as a thought leader in the AI community.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in deep learning, natural language processing (NLP), or computer vision.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Soft Skills: Exceptional problem-solving abilities and strong communication skills to articulate complex technical concepts to diverse stakeholders.
  • Future-Readiness: A demonstrated ability to adapt to rapidly evolving technologies and a keen interest in the trajectory of AI through 2026.

Required Skills

Python PyTorch TensorFlow NLP Large Language Models Machine Learning Deep Learning CUDA Cloud Computing AI Ethics

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