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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Future Systems is seeking a visionary Senior AI Engineer to join our elite R&D team in the heart of San Francisco.

As we prepare for the 2026 era of autonomous systems, we are building scalable, ethical, and high-performance AI solutions that redefine human-machine interaction. You will be at the forefront of Generative AI, Large Language Models (LLMs), and edge computing.

Why Join Us?

  • Work on cutting-edge projects that impact millions globally.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with state-of-the-art office amenities.
  • Unlimited PTO and professional development stipend.

If you are passionate about pushing the boundaries of what AI can achieve, we want to hear from you.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Optimize inference pipelines for low-latency, high-throughput production environments.
  • Collaborate with product managers and data scientists to translate complex requirements into technical solutions.
  • Implement robust MLOps pipelines for continuous integration and deployment (CI/CD).
  • Ensure data privacy, security, and ethical AI compliance in all models.
  • Mentor junior engineers and conduct technical code reviews to maintain high engineering standards.
  • Research and evaluate new AI frameworks to stay ahead of industry trends.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, preferably in a high-growth startup or tech giant.
  • Expert proficiency in Python, PyTorch, TensorFlow, and JAX.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Experience with model versioning, experiment tracking, and MLOps tools.
  • Proven track record of shipping production-ready AI products.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Docker Kubernetes AI Engineering

Ready to Take This Challenge?

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

Apply Now

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