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Senior AI Engineer (2026 Vision)

OmniFuture Corp
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to engineer the world of tomorrow? OmniFuture Corp is seeking a visionary Senior AI Engineer to lead the development of the next generation of autonomous systems. We are building the technological infrastructure for the year 2026 and beyond, and we need a technical expert who thrives on solving complex problems at the intersection of deep learning and real-world application.

In this role, you will be at the forefront of innovation, designing scalable AI architectures that redefine industry standards. If you are passionate about Generative AI, large language models, and ethical artificial intelligence, we want to meet you.

Why Join Us?

  • Shape the Future: Directly influence the roadmap for the 2026 era of technology.
  • Competitive Compensation: Base salary of $180k - $250k plus equity and performance bonuses.
  • Flexible Environment: Hybrid work model based in our San Francisco headquarters.

Responsibilities

  • Architect and deploy scalable Generative AI models designed for 2026 infrastructure demands.
  • Lead the end-to-end development of Autonomous Systems using deep learning frameworks like PyTorch and TensorFlow.
  • Optimize large-scale neural networks to ensure high-performance, low-latency real-time inference.
  • Collaborate with product and engineering teams to translate strategic goals into technical roadmaps.
  • Implement rigorous testing and validation protocols to ensure model robustness and safety.
  • Stay ahead of the curve on emerging AI trends to ensure our solutions remain cutting-edge.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of professional experience in Machine Learning engineering or research.
  • Expert proficiency in Python and experience with major deep learning libraries.
  • Strong background in Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Demonstrated experience in designing distributed systems and cloud-native AI solutions.
  • Excellent communication skills and the ability to mentor junior engineers.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs AI Architecture Deep Learning San Francisco Engineering

Ready to Take This Challenge?

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

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