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Information Technology 🏒 Full Time ⭐️ Verified

AI Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are Nexus Future Systems, a leader in next-generation artificial intelligence infrastructure. We are seeking a visionary AI Engineer (2026 Vision) to join our elite team in San Francisco. You will be at the forefront of building the algorithms that define the technological landscape of the future.


The Role:

In this high-impact position, you will design, train, and deploy scalable machine learning models. You will work closely with cross-functional teams to translate complex research concepts into production-grade systems that drive real-world value.


Why Apply?

  • Work on cutting-edge Large Language Models (LLMs) and Generative AI.
  • Competitive compensation package with equity options.
  • Flexible hybrid work model in the heart of San Francisco.

If you are passionate about the future of technology and want to build systems that matter, we want to hear from you.

Responsibilities

  • Design and implement robust deep learning pipelines for real-time inference and production deployment.
  • Optimize model architectures for speed, accuracy, and resource efficiency.
  • Collaborate with data scientists to translate research prototypes into scalable software products.
  • Establish and maintain best practices for code quality, testing, and MLOps workflows.
  • Conduct rigorous testing of AI agents to ensure safety, fairness, and reliability.
  • Stay abreast of the latest advancements in AI research and apply them to our product roadmap.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering and software development.
  • Proficiency in Python, PyTorch, or TensorFlow with a deep understanding of neural networks.
  • Strong experience with MLOps, CI/CD pipelines, and cloud infrastructure (AWS/GCP).
  • Proven track record of deploying machine learning models into high-traffic environments.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP Docker Kubernetes SQL Natural Language Processing

Ready to Take This Challenge?

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

Apply Now

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