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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to shape the technological landscape of 2026? Nexus Future Systems is pioneering the next evolution of artificial intelligence. We are seeking a visionary Senior Generative AI Engineer to lead our research and deployment of next-generation Large Language Models (LLMs) and multimodal AI systems.

In this role, you will bridge the gap between theoretical research and production-grade applications, ensuring our AI solutions are scalable, ethical, and transformative.

Why Join Us?

  • Work on cutting-edge technology that defines the future of human-computer interaction.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Architect and train state-of-the-art generative models using PyTorch and TensorFlow.
  • Optimize model inference latency and reduce resource costs through quantization and pruning techniques.
  • Develop and implement robust evaluation pipelines to measure model performance and fairness.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Stay abreast of the latest academic research and industry trends to drive innovation.
  • Ensure compliance with data privacy regulations and ethical AI guidelines.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in Deep Learning, NLP, or Generative AI.
  • Expert proficiency in Python, C++, and SQL.
  • Strong experience with Hugging Face Transformers, LangChain, and vector databases.
  • Proven track record of deploying AI models to production environments (AWS, GCP, or Azure).
  • Experience with MLOps tools such as Kubeflow or MLflow.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AWS GCP MLOps Generative AI LLMs Natural Language Processing

Ready to Take This Challenge?

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