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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

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

Are you ready to define the technological landscape of the future? Nexus Future Systems is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. In this pivotal role, you will be at the forefront of developing the generative AI and quantum-enhanced computing architectures that will define the 2026 roadmap.

We are building the infrastructure for the next decade. You won't just be maintaining existing systems; you will architect the core neural networks and machine learning pipelines designed to revolutionize synthetic intelligence. If you thrive in a fast-paced, high-impact environment and want to leave a legacy in the tech world, this is the opportunity for you.

Why Join Us?

  • Work on cutting-edge AI projects that shape the future.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Unlimited PTO and professional development budget.

Responsibilities

  • Design and implement scalable Generative AI models tailored for the 2026 tech stack.
  • Lead research initiatives focused on optimizing Large Language Models (LLMs) and transformer architectures.
  • Architect robust data pipelines capable of handling petabyte-scale datasets with low latency.
  • Collaborate with cross-functional engineering teams to integrate AI solutions into production environments.
  • Conduct rigorous testing and validation to ensure model reliability and safety standards.
  • Mentor junior engineers and contribute to the technical vision of the project.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Deep Learning, NLP, or Computer Vision.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed computing systems and cloud infrastructure (AWS/GCP).
  • Experience with Reinforcement Learning and Model Fine-tuning.
  • Exceptional problem-solving skills and a passion for pushing the boundaries of AI capabilities.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Generative AI AWS Distributed Systems Machine Learning

Ready to Take This Challenge?

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

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