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Senior AI Engineer - 2026 Horizon Initiative

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

Job Description

Join the 2026 Horizon Initiative

Quantum Leap Technologies is at the forefront of defining the future of intelligent systems. We are seeking a visionary Senior AI Engineer to lead our research and development efforts for the 2026 Horizon Initiative. In this pivotal role, you will architect scalable machine learning models and generative AI systems that will power the next generation of enterprise solutions.

As a key player in our technical leadership team, you will bridge the gap between theoretical research and practical application, ensuring our AI infrastructure is robust, efficient, and ready for the demands of tomorrow.

Responsibilities

  • Architect and deploy end-to-end machine learning pipelines for large-scale generative AI applications.
  • Lead the research and implementation of novel deep learning algorithms tailored to the 2026 Initiative goals.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to integrate AI capabilities into core products.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Optimize model performance for speed, accuracy, and resource efficiency in cloud environments.
  • Stay abreast of the latest advancements in NLP, Computer Vision, and Reinforcement Learning.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • Minimum of 5+ years of professional experience in AI/ML engineering, with a focus on large language models or generative AI.
  • Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying models to production environments and handling data at scale.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS GCP Kubernetes Docker NLP Generative AI Large Language Models Cloud Architecture

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