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Lead AI Engineer - Project 2026

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are at the precipice of a new era in technology. As we look toward the technological horizon of 2026, our mission is to pioneer the next generation of artificial intelligence solutions.

Are you ready to lead a team of brilliant minds in architecting the systems that will define the future? We are seeking a visionary Lead AI Engineer to join our elite team in San Francisco. You will be responsible for building the foundational models that will power our products for years to come.

Why Join Us?

  • Work on cutting-edge Generative AI and Neural Network technologies.
  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Top-tier health, dental, and vision insurance.

Responsibilities

  • Lead the research and development of scalable Machine Learning models tailored for the 2026 landscape.
  • Architect high-performance AI infrastructure capable of handling real-time data streams.
  • Mentor a diverse team of data scientists and software engineers to foster technical growth.
  • Collaborate with product managers to translate business requirements into technical AI solutions.
  • Optimize existing algorithms for improved accuracy and reduced latency.
  • Ensure ethical AI practices and compliance with industry standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in machine learning, deep learning, or natural language processing.
  • Expert proficiency in Python, PyTorch, TensorFlow, or Keras.
  • Strong understanding of Large Language Models (LLMs) and Generative AI architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of leading engineering teams and delivering complex projects on time.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs AWS Kubernetes Natural Language Processing Leadership

Ready to Take This Challenge?

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

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