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Senior AI Engineer

Apex Dynamics
San Francisco
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the future of intelligent systems? Apex Dynamics is seeking a visionary Senior AI Engineer to join our elite R&D division in San Francisco. We are at the forefront of developing next-generation artificial intelligence solutions that redefine human-computer interaction.

In this role, you will not just write code; you will architect the neural architectures of tomorrow. You will work on cutting-edge Large Language Models (LLMs), computer vision systems, and autonomous agents. If you are passionate about pushing the boundaries of what is possible in 2026 and beyond, this is your opportunity to lead impactful projects in a high-growth environment.

Why Join Apex Dynamics?

  • Competitive compensation package ($165k - $220k).
  • Equity and performance bonuses.
  • Flexible remote-first culture with state-of-the-art hardware.
  • Opportunity to mentor junior talent and shape engineering standards.

Responsibilities

  • Design, train, and fine-tune advanced machine learning models, focusing on NLP and Deep Learning.
  • Collaborate with cross-functional teams to integrate AI solutions into production environments.
  • Optimize model inference latency and scalability for high-traffic applications.
  • Conduct rigorous research to stay ahead of industry trends and competitor innovations.
  • Document technical architecture and contribute to the team's knowledge base.
  • Participate in code reviews to ensure best practices and maintain code quality.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 5+ years of professional experience in AI/ML engineering.
  • Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of transformer architectures and LLMs.
  • Experience with MLOps tools (Docker, Kubernetes, MLflow).
  • Proven track record of deploying models to production at scale.
  • Excellent problem-solving skills and communication abilities.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps Docker Kubernetes

Ready to Take This Challenge?

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