Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence in 2026? Nexus Horizon Technologies is seeking a visionary Senior Generative AI Engineer to spearhead our next-generation product suite.

We are not just building software; we are architecting the future of human-computer interaction. In this role, you will work at the intersection of creativity and code, utilizing cutting-edge Large Language Models (LLMs) to build applications that think, learn, and evolve.

Join a world-class team where innovation is the currency and your impact will be felt globally.

Responsibilities

  • Architect and deploy scalable Generative AI models, including LLMs and diffusion systems, optimized for production environments.
  • Design and implement novel prompting strategies and fine-tuning pipelines to enhance model accuracy and reduce hallucinations.
  • Collaborate cross-functionally with product managers, designers, and researchers to translate complex requirements into technical solutions.
  • Conduct research into emerging AI architectures to stay ahead of industry trends and maintain a competitive edge.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Optimize inference latency and resource utilization for high-volume AI services.

Qualifications

  • 5+ years of professional experience in Machine Learning, Natural Language Processing, or Deep Learning.
  • Expert proficiency in Python and frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.
  • Proven track record of deploying AI models to cloud infrastructure (AWS, GCP, or Azure).
  • Strong understanding of neural network architectures, attention mechanisms, and vector databases.
  • Experience with data preprocessing, feature engineering, and model evaluation metrics.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLM) Natural Language Processing (NLP) Machine Learning AWS GCP Hugging Face

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All