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Senior AI Research Engineer (AGI & LLMs)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead the development of next-generation Artificial General Intelligence (AGI) and Large Language Models (LLMs).

In this pivotal role, you will bridge the gap between theoretical research and production-scale deployment. We are not just building models; we are defining the ethical and operational standards for AI in the 2026 era and beyond. If you thrive in a high-velocity, intellectually stimulating environment and want to solve the hardest problems in machine learning, we want to hear from you.

Why Join Us?

  • Impact: Work on projects that will redefine human-machine interaction.
  • Compensation: Competitive salary, equity packages, and comprehensive benefits.
  • Environment: Collaborate with top-tier researchers and engineers from leading tech institutions.

Ready to shape the trajectory of AI? Apply today.

Responsibilities

  • Design, train, and fine-tune state-of-the-art LLMs and multimodal models.
  • Implement novel algorithms to improve model efficiency, accuracy, and scalability.
  • Conduct cutting-edge research to advance the field of AGI, publishing findings in top-tier conferences.
  • Collaborate with cross-functional teams to integrate AI models into robust production pipelines.
  • Evaluate model performance against industry benchmarks and define success metrics.
  • Mentor junior researchers and engineers, fostering a culture of innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Extensive experience with deep learning architectures (Transformers, GNNs, etc.).
  • Proven track record of publishing research in reputable venues (NeurIPS, ICML, ACL).
  • Experience with distributed training and high-performance computing (HPC).
  • Excellent problem-solving skills and the ability to work in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs AI Deep Learning Distributed Systems Research

Ready to Take This Challenge?

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

Apply Now

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