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Information Technology 🏢 Full Time ⭐️ Verified

Future of AI Engineer | 2026 (San Francisco, CA)

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the trajectory of the future? Join 2026, a visionary technology firm building the digital infrastructure for the next decade. We are not just adapting to the future; we are inventing it. As a Future of AI Engineer, you will be at the helm of developing cutting-edge machine learning models and generative AI systems that will revolutionize industries.

We are looking for a visionary leader who is passionate about pushing the boundaries of what is possible with Artificial Intelligence. In this role, you will design scalable AI architectures, mentor top-tier talent, and translate complex data into actionable intelligence. If you thrive in an environment that demands innovation and technical excellence, 2026 is your next home.

Responsibilities

  • Architect and deploy scalable machine learning pipelines and deep learning models for production environments.
  • Lead the research and implementation of state-of-the-art Generative AI and Large Language Model (LLM) technologies.
  • Collaborate with cross-functional teams to identify high-impact AI use cases and drive product innovation.
  • Optimize existing models for latency, throughput, and cost-efficiency in high-volume systems.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.
  • Stay ahead of industry trends in AI, contributing to internal knowledge bases and patentable research.

Qualifications

  • 5+ years of professional experience in software engineering, machine learning engineering, or data science.
  • Expert proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of MLOps, cloud platforms (AWS/GCP/Azure), and containerization technologies (Docker/Kubernetes).
  • Experience with data wrangling, feature engineering, and distributed computing systems.
  • PhD or MS in Computer Science, Artificial Intelligence, or a related technical field is preferred.

Required Skills

Python Machine Learning Deep Learning Generative AI LLM PyTorch TensorFlow MLOps AWS Docker Kubernetes Data Science AI Architecture

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