Home Job Details
Q
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Engineer

QuantumLeap Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

At QuantumLeap Systems, we are not just building software for today; we are engineering the infrastructure for tomorrow. We are looking for a visionary Senior AI & Future Tech Engineer to spearhead our research and development initiatives leading up to the technological paradigm shift of 2026. In this pivotal role, you will design and implement cutting-edge artificial intelligence systems that redefine user interaction and operational efficiency. You will be at the forefront of integrating next-gen machine learning capabilities, ensuring our platforms remain ahead of the curve in a rapidly evolving digital landscape.

Responsibilities

  • Lead the design and implementation of next-generation Large Language Models (LLMs) and generative AI frameworks tailored for 2026 scalability.
  • Conduct high-level research to identify emerging technologies, such as neuro-symbolic AI and edge computing, relevant to the 2026 tech landscape.
  • Optimize deep learning pipelines for extreme performance, ensuring low latency and high accuracy in real-time applications.
  • Collaborate with cross-functional product leadership to translate complex future roadmaps into executable, high-quality technical strategies.
  • Establish best practices for MLOps and ensure the robust, secure deployment of AI models in production environments.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
  • Minimum of 5+ years of professional experience in AI/ML engineering with a strong portfolio of deployed, production-grade projects.
  • Expert proficiency in Python, PyTorch, TensorFlow, and modern data processing libraries (Pandas, NumPy, Scikit-learn).
  • Deep understanding of neural network architectures, Natural Language Processing (NLP), and predictive analytics.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to think strategically about long-term technology trends and their business implications.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP AWS Docker Kubernetes MLOps

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All