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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Engineer: Project 2026

Quantum Leap Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are seeking a visionary Lead AI Engineer to spearhead Project 2026, our ambitious initiative to build the next generation of autonomous neural networks. If you are passionate about pushing the boundaries of artificial intelligence and want to define the roadmap for the future of technology, this is your opportunity to make history.

At Quantum Leap Technologies, we don't just follow trends; we set them. You will be working with a world-class team of researchers and engineers to build scalable, robust AI systems designed to outperform current standards. We offer a competitive salary, equity packages, and a culture that prioritizes innovation and creativity.

Responsibilities

  • Architect and lead the development of the core AI infrastructure for Project 2026.
  • Design and optimize large-scale machine learning models to ensure high performance and low latency.
  • Collaborate with cross-functional teams to integrate AI solutions into real-world applications.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay ahead of the curve on emerging AI technologies and methodologies.
  • Ensure data privacy, security, and ethical AI practices are strictly adhered to.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Demonstrated history of deploying production-grade AI systems.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Kubernetes AWS NLP Computer Vision

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