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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 220.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Future Systems is seeking a visionary Senior AI Engineer to architect the next generation of intelligent software solutions. If you are passionate about pushing the boundaries of artificial intelligence, machine learning, and scalable infrastructure, we want to hear from you.

In this role, you will not just write code; you will shape the future of our products. You will lead a high-impact team in developing state-of-the-art algorithms, optimizing deep learning models for real-time inference, and ensuring our systems are robust, secure, and ready for the demands of the future.

Join us in San Francisco and be part of a team that is redefining what is possible in technology.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and cloud-native AI services.
  • Lead the research and implementation of cutting-edge Generative AI models (LLMs) tailored for enterprise applications.
  • Optimize model inference latency and reduce computational costs across diverse hardware environments.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate closely with product managers and designers to translate complex AI capabilities into user-friendly features.
  • Stay ahead of industry trends in AI, ensuring our technology stack remains future-proof.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying end-to-end AI models into production environments.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow AWS GCP Kubernetes Docker Deep Learning Machine Learning Natural Language Processing LLMs SQL Agile Scrum

Ready to Take This Challenge?

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