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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Nexus AI Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future of Intelligence is Here. Nexus AI Systems is revolutionizing the landscape of machine learning by building scalable, efficient, and ethical AI solutions. We are seeking a visionary Senior AI Engineer to join our elite team and architect the next generation of intelligent applications.

In this role, you will not just write code; you will define the algorithms that drive decision-making for enterprises worldwide. We offer a competitive package, remote-first flexibility, and the opportunity to work with state-of-the-art hardware and cloud infrastructure.

Why Join Us?

  • Work on cutting-edge Large Language Models (LLMs) and Generative AI.
  • Competitive compensation and equity packages.
  • Flexible remote work environment.
  • Continuous learning and development budget.

Responsibilities

  • Design, develop, and optimize high-performance machine learning models and neural networks.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to deploy AI solutions.
  • Research and implement state-of-the-art algorithms to improve model accuracy and efficiency.
  • Monitor model performance in production environments and implement MLOps best practices for automated retraining.
  • Conduct code reviews and mentor junior engineers to foster a culture of technical excellence.
  • Document technical architecture and algorithms to ensure knowledge transfer and system maintainability.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in software development with a focus on Artificial Intelligence and Machine Learning.
  • Proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of statistics, probability, and optimization techniques.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps Docker Kubernetes AWS GCP SQL

Ready to Take This Challenge?

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