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Senior AI Engineer - Generative Models

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the Vanguard of Artificial Intelligence

We are Nexus Future Systems, a forward-thinking tech company dedicated to shaping the landscape of 2026 and beyond. We are seeking a visionary Senior AI Engineer to lead our research and development in Generative AI and Large Language Models (LLMs).

If you are passionate about building intelligent systems that can understand, reason, and create, we want to hear from you. You will work on cutting-edge projects that will define the future of human-computer interaction.

Why Join Us?

  • Work with a world-class team of researchers and engineers.
  • Competitive compensation package including equity.
  • Flexible remote and hybrid work options.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy scalable Generative AI models and LLMs using modern deep learning frameworks.
  • Optimize model inference for real-time applications, ensuring high speed and low latency.
  • Collaborate with cross-functional teams (product, data science, and engineering) to integrate AI solutions into core products.
  • Conduct rigorous research to stay ahead of industry trends in AI, NLP, and computer vision.
  • Implement best practices for MLOps, including model versioning, monitoring, and automated retraining pipelines.
  • Contribute to the technical documentation and mentorship of junior engineers.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of NLP architectures (Transformers, BERT, GPT, etc.) and training methodologies.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of publishing research or delivering high-impact AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Generative AI MLOps Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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

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