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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - 2026 Vision

QuantumHorizon Inc.
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

QuantumHorizon is pioneering the next generation of artificial intelligence, defining the roadmap for 2026 and beyond. We are seeking a visionary Senior AI Engineer to join our elite engineering team. In this role, you will not just build models; you will architect the future of intelligent systems, focusing on generative AI, large language models, and autonomous agents.

As a key player in our 2026 Strategic Initiative, you will bridge the gap between theoretical research and production-scale deployment. If you are passionate about pushing the boundaries of what is possible with AI and want to leave a lasting legacy in the tech industry, we want to meet you.

Why Join Us?

  • Work on next-generation AI infrastructure.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with premium San Francisco office access.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models for enterprise applications.
  • Lead the architectural design of scalable AI pipelines and data infrastructure.
  • Conduct research to explore novel algorithms and improve model performance (accuracy, latency, cost).
  • Collaborate with cross-functional teams to integrate AI solutions into existing products.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of industry trends to ensure QuantumHorizon remains a leader in 2026 technology.

Qualifications

  • Master’s degree in Computer Science, Machine Learning, or a related technical field (PhD preferred).
  • 5+ years of professional experience in AI/ML engineering or data science.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Strong experience with distributed systems, cloud platforms (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Proven track record of deploying production-grade models at scale.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Docker Kubernetes NLP LLMs System Design

Ready to Take This Challenge?

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