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Senior Generative AI Engineer (2026 Roadmap)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At Nexus Horizon AI, we are architecting the technological landscape for 2026 and beyond. We are seeking a visionary Senior Generative AI Engineer to spearhead our research and development initiatives. You will be responsible for building the next generation of Large Language Models (LLMs) and multimodal AI systems that redefine user interaction.

We are not just looking for a coder; we are looking for a pioneer who can navigate the complexities of modern AI while maintaining a strong ethical foundation. If you are passionate about the future of technology and want to leave a lasting impact on the industry, we want to meet you.

Key Highlights:

  • Future-Ready Technology: Work with the latest frameworks in Generative AI and Deep Learning.
  • High-Impact Work: Your models will power products used by millions globally.
  • Competitive Package: Base salary plus equity in a high-growth unicorn.

Responsibilities

  • Design and train state-of-the-art Generative AI models using PyTorch and TensorFlow.
  • Optimize model inference pipelines for real-time, low-latency applications.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Implement rigorous testing and validation frameworks to ensure model safety and reliability.
  • Stay ahead of the curve on emerging AI trends and architectural patterns for 2026.
  • Mentor junior engineers and contribute to the technical vision of the department.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in NLP, Deep Learning, or Generative Modeling.
  • Expert proficiency in Python, CUDA, and distributed computing frameworks.
  • Strong understanding of Transformer architectures, attention mechanisms, and fine-tuning strategies.
  • Experience deploying scalable AI solutions on cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL).

Required Skills

Python PyTorch TensorFlow NLP Deep Learning Machine Learning AWS GCP LLMs Transformer Models AI Ethics

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